We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RPL36AL 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
314.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
643.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
605.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
601.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
584.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
582.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
571.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
557.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
552.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
551.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
542.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
530.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
529.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
520.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
513.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
512.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
507.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
486.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
479.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
478.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
474.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
470.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
467.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
465.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
465.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
464.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
459.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
457.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
450.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
445.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
445.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
444.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
442.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
441.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
439.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
438.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
435.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
431.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
431.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
429.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
426.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
425.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
419.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
412.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
409.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
407.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
407.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
404.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
403.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
400.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
396.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
392.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
391.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
391.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
390.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
390.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
388.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
387.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
387.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
384.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
384.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
384.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
383.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
381.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
376.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
372.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
371.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
371.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
371.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
369.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
368.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
368.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
367.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
366.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
364.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
364.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
363.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
363.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
362.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
358.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
354.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
352.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
351.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
351.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
351.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
347.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
347.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
346.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
345.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
345.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
342.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
342.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
340.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
339.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
339.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
336.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
336.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
336.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
335.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
334.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
333.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
330.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
329.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
329.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
328.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
328.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
327.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
327.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
326.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
325.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
324.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
324.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
323.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
323.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
323.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
323.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
322.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
321.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
321.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
320.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
318.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
317.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
317.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
317.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
316.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
313.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
310.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
310.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
305.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
301.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
299.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
298.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
298.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
297.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
297.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
297.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
297.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
295.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
295.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
294.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
294.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
291.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
290.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
290.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
288.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
288.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
287.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
286.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
285.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
283.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
282.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
281.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
280.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
278.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
278.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
277.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
275.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
275.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
275.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
274.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
274.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
273.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
273.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
271.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
269.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
269.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
269.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
268.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
265.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
265.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
263.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
263.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
262.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
261.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
260.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
258.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
256.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
256.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
254.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
254.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
253.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
253.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
253.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
250.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
248.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
245.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
244.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
244.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
243.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
238.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
238.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
237.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
235.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
234.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
233.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
233.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
231.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
231.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
231.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
230.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
225.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
225.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
224.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
223.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
223.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
223.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
220.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
218.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
215.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
214.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
210.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
209.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
209.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
209.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
208.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
207.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
203.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
203.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
199.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
196.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
196.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
196.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
195.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
192.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
191.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
191.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
188.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
184.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
182.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
178.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
175.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
175.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
174.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
167.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
167.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
164.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
161.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
158.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
153.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
151.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
150.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
148.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
146.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
145.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
142.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
142.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
141.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
137.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
135.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
128.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
128.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
118.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
106.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
101.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 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.
RPL36AL 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
129.9
Number of samples
486
Samples
Sample
Description
TPM
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
306.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
258.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
247.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
241.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
239.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
227.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
226.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
225.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
222.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
220.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
218.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
215.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
212.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
212.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
202.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
202.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
201.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
200.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
199.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
198.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
198.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
196.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
194.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
193.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
190.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
189.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
189.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
188.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
187.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
187.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
185.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
185.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
185.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
185.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
185.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
185.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
184.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
184.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
184.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
184.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
184.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
184.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
183.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
182.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
182.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
182.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
182.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
182.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
181.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
180.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
179.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
179.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
179.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
178.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
177.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
177.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
177.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
177.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
176.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
175.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
174.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
174.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
174.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
174.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
174.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
173.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
173.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
173.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
172.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
172.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
172.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
171.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
171.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
170.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
170.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
170.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
169.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
169.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
169.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
168.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
168.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
168.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
167.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
166.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
166.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
166.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
165.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
165.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
164.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
164.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
162.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
162.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
162.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
162.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
161.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
161.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
160.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
160.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
160.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
158.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
158.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
158.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
158.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
158.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
158.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
158.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
157.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
157.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
157.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
157.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
156.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
156.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
155.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
155.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
155.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
155.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
154.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
154.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
154.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
154.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
154.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
154.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
153.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
153.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
153.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
153.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
153.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
153.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
152.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
152.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
152.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
152.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
152.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
151.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
150.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
150.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
150.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
150.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
150.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
150.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
149.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
149.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
149.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
149.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
149.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
148.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
148.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
148.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
147.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
147.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
147.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
147.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
146.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
146.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
146.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
145.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
144.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
144.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
144.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
144.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
144.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
144.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
143.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
143.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
142.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
142.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
141.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
141.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
141.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
141.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
140.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
140.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
140.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
140.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
140.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
139.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
139.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
139.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
138.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
138.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
138.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
138.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
138.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
137.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
137.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
137.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
137.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
136.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
136.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
136.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
135.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
135.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
135.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
135.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
135.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
134.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
134.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
134.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
134.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
134.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
134.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
133.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
133.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
133.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
133.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
133.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
133.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
132.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
132.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
132.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
132.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
132.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
132.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
131.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
131.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
131.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
131.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
131.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
131.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
131.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
131.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
131.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
130.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
130.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
130.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
130.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
130.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
129.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
129.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
129.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
128.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
128.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
127.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
127.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
127.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
127.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
127.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
127.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
127.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
126.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
126.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
126.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
126.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
126.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
126.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
126.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
126.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
125.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
125.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
125.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
125.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
124.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
124.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
124.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
124.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
124.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
124.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
123.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
123.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
123.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
123.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
123.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
123.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
122.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
122.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
122.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
122.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
122.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
122.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
122.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
122.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
121.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
121.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
121.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
121.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
121.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
121.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
121.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
120.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
119.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
119.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
119.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
119.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
119.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
119.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
119.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
119.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
119.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
119.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
118.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
118.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
118.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
118.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
118.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
118.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
118.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
117.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
117.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
117.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
117.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
117.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
117.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
116.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
116.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
116.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
116.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
116.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
115.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
115.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
115.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
115.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
115.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
115.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
115.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
114.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
114.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
114.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
114.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
114.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
113.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
113.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
113.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
113.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
113.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
112.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
112.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
112.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
112.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
112.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
112.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
112.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
111.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
111.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
111.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
110.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
110.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
110.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
110.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
110.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
109.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
109.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
109.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
109.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
108.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
108.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
108.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
107.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
107.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
107.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
107.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
107.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
107.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
106.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
106.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
106.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
105.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
105.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
104.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
104.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
104.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
104.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
104.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
104.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
103.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
103.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
103.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
102.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
102.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
101.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
100.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
100.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
100.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
100.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
99.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
99.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
99.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
99.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
99.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
99.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
98.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
97.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
97.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
97.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
96.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
96.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
96.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
96.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
96.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
95.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
94.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
94.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
94.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
94.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
94.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
94.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
94.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
94.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
93.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
93.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
93.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
93.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
93.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
92.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
92.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
92.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
92.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
92.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
91.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
91.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
91.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
90.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
90.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
90.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
90.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
90.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
89.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
89.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
89.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
88.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
88.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
88.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
88.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
88.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
88.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
88.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
87.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
86.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
86.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
85.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
85.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
84.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
84.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
84.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
83.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
83.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
83.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
83.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
82.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
81.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
81.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
80.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
79.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
79.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
79.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
78.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
78.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
77.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
77.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
77.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
76.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
76.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
76.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
75.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
75.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
75.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
75.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
75.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
74.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
74.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
73.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
73.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
73.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
73.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
73.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
72.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
71.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
71.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
71.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
71.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
70.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
70.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
69.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
69.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
68.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
68.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
68.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
65.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
63.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
62.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
57.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
14.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL36AL 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
289.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
526.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
516.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
479.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
473.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
446.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
431.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
424.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
401.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
393.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
384.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
383.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
381.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
376.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
372.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
371.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
371.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
367.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
367.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
366.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
366.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
361.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
357.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
357.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
352.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
346.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
338.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
331.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
330.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
330.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
329.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
329.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
319.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
318.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
316.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
316.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
313.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
306.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
306.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
299.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
298.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
293.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
289.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
286.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
284.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
283.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
282.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
280.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
275.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
272.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
270.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
267.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
266.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
265.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
263.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
260.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
260.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
259.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
256.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
256.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
253.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
252.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
248.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
234.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
223.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
221.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
220.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
218.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
211.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
204.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
204.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
202.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
197.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
194.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
192.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
188.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
187.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
183.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
178.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
172.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
169.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
168.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
159.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
159.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
154.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
152.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
148.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
140.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL36AL is potential prognostic, high expression is unfavorable 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
119.4
Number of samples
207
Samples
Sample
Description
TPM
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
266.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
230.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
222.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
221.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
212.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
204.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
201.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
199.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
195.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
191.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
188.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
186.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
184.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
183.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
182.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
181.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
179.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
177.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
177.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
177.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
177.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
174.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
173.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
171.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
170.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
168.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
168.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
167.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
166.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
165.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
165.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
164.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
164.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
162.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
160.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
160.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
160.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
160.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
159.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
156.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
156.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
155.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
154.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
152.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
150.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
150.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
150.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
150.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
150.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
149.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
149.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
148.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
148.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
148.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
146.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
145.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
142.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
141.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
141.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
140.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
139.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
139.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
139.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
137.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
136.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
136.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
136.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
135.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
135.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
134.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
134.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
134.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
133.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
133.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
131.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
131.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
130.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
130.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
129.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
127.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
127.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
126.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
126.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
125.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
125.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
125.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
124.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
122.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
122.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
121.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
120.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
120.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
120.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
120.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
119.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
119.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
119.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
118.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
118.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
118.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
118.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
117.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
116.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
116.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
116.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
116.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
115.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
115.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
115.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
113.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
113.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
111.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
111.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
111.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
110.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
110.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
107.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
107.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
107.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
107.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
107.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
104.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
104.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
104.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
103.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
103.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
103.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
102.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
101.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
99.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
99.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
97.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
97.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
97.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
97.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
97.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
97.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
96.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
96.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
95.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
95.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
94.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
93.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
93.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
92.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
92.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
92.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
92.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
91.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
91.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
90.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
90.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
90.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
89.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
89.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
88.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
88.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
87.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
87.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
86.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
85.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
85.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
85.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
85.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
85.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
84.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
84.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
84.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
82.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
81.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
80.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
80.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
80.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
79.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
77.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
77.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
76.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
74.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
74.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
74.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
73.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
72.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
71.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
70.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
70.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
70.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
69.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
69.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
69.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
68.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
67.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
67.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
65.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
61.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
60.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
60.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
58.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
58.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
50.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
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.