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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ATF4 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
309.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
717.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
548.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
545.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
537.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
521.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
509.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
503.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
496.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
481.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
480.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
477.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
476.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
468.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
464.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
463.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
458.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
455.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
454.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
450.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
448.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
440.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
437.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
436.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
436.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
435.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
435.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
434.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
432.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
431.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
428.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
428.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
427.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
425.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
425.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
423.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
423.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
422.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
421.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
417.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
416.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
412.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
410.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
410.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
406.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
405.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
404.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
403.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
395.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
392.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
390.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
387.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
385.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
382.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
380.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
375.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
371.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
369.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
368.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
368.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
368.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
367.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
365.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
364.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
362.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
361.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
360.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
357.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
356.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
354.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
353.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
351.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
351.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
350.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
347.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
345.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
344.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
343.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
343.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
342.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
342.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
342.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
341.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
338.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
335.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
334.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
334.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
332.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
331.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
331.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
331.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
330.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
329.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
329.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
328.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
328.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
324.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
322.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
321.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
320.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
318.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
317.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
316.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
315.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
315.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
315.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
315.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
313.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
312.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
312.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
312.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
312.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
311.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
310.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
309.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
308.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
308.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
308.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
307.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
307.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
306.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
306.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
306.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
306.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
305.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
305.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
304.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
303.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
298.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
295.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
294.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
294.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
292.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
292.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
290.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
288.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
287.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
286.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
285.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
284.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
283.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
282.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
282.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
281.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
281.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
281.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
280.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
274.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
274.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
274.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
273.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
272.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
271.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
270.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
270.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
270.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
270.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
270.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
270.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
269.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
268.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
267.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
267.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
266.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
265.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
263.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
262.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
262.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
261.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
261.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
261.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
260.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
260.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
259.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
258.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
257.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
257.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
257.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
255.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
254.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
254.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
253.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
253.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
252.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
251.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
251.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
251.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
251.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
250.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
248.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
247.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
247.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
246.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
242.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
241.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
241.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
240.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
239.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
238.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
236.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
236.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
235.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
234.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
232.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
230.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
230.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
229.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
228.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
228.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
227.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
227.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
226.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
225.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
224.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
224.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
221.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
221.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
219.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
217.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
217.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
216.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
214.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
212.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
211.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
211.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
210.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
208.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
208.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
206.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
204.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
202.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
202.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
199.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
198.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
196.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
191.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
190.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
189.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
186.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
186.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
182.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
180.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
180.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
177.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
177.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
177.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
175.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
175.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
174.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
173.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
172.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
162.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
160.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
153.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
ATF4 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
204.6
Number of samples
486
Samples
Sample
Description
TPM
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
417.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
377.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
360.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
359.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
356.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
347.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
345.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
344.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
340.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
336.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
334.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
322.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
316.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
305.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
304.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
302.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
301.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
301.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
301.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
300.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
300.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
298.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
297.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
296.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
295.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
294.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
294.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
293.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
291.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
290.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
290.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
287.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
284.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
283.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
283.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
281.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
279.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
278.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
278.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
277.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
277.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
275.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
272.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
272.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
271.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
270.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
270.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
268.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
267.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
267.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
267.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
266.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
266.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
266.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
265.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
263.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
263.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
262.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
261.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
261.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
261.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
260.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
260.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
260.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
259.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
259.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
259.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
258.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
258.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
257.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
257.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
256.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
256.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
256.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
254.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
254.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
254.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
253.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
253.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
253.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
252.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
252.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
252.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
251.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
251.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
251.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
250.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
250.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
250.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
250.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
249.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
249.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
248.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
248.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
248.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
248.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
247.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
246.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
246.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
245.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
245.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
244.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
244.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
244.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
244.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
243.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
243.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
242.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
242.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
242.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
242.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
242.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
241.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
241.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
240.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
240.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
239.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
239.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
239.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
238.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
237.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
236.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
236.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
234.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
233.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
233.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
232.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
232.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
232.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
231.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
231.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
231.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
231.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
231.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
230.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
230.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
230.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
229.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
229.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
228.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
228.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
228.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
228.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
227.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
227.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
227.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
227.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
226.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
226.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
226.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
225.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
225.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
224.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
224.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
224.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
223.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
223.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
222.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
222.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
221.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
221.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
221.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
221.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
221.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
220.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
220.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
220.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
220.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
220.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
220.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
219.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
219.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
219.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
218.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
218.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
217.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
217.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
217.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
217.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
216.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
216.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
216.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
215.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
215.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
215.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
214.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
214.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
214.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
214.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
214.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
214.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
214.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
213.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
213.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
213.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
213.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
212.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
212.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
212.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
212.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
211.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
211.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
211.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
211.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
210.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
210.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
210.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
210.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
210.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
209.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
209.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
209.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
208.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
208.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
208.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
207.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
207.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
207.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
207.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
206.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
206.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
206.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
205.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
204.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
204.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
204.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
203.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
203.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
203.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
203.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
203.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
202.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
202.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
201.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
201.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
200.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
200.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
200.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
199.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
199.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
199.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
199.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
199.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
199.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
199.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
198.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
198.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
198.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
198.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
197.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
197.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
197.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
197.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
197.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
197.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
196.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
196.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
196.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
196.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
196.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
196.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
195.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
195.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
195.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
194.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
194.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
194.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
193.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
193.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
193.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
193.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
193.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
192.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
192.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
190.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
190.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
190.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
189.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
189.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
189.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
189.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
189.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
188.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
188.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
188.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
187.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
187.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
187.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
186.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
186.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
186.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
186.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
186.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
186.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
186.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
185.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
185.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
185.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
184.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
184.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
184.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
184.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
184.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
184.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
182.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
182.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
182.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
181.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
181.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
181.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
181.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
181.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
181.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
181.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
180.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
180.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
180.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
180.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
179.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
179.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
179.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
179.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
179.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
179.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
179.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
179.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
178.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
178.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
178.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
177.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
177.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
177.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
176.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
176.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
176.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
175.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
175.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
175.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
175.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
175.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
175.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
174.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
174.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
172.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
172.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
172.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
172.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
172.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
171.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
171.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
171.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
171.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
171.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
171.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
170.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
170.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
169.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
169.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
169.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
168.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
168.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
168.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
168.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
168.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
167.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
167.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
167.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
167.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
166.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
165.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
165.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
165.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
164.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
164.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
164.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
164.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
163.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
163.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
163.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
162.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
162.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
162.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
161.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
161.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
161.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
160.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
160.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
160.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
160.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
160.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
159.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
159.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
158.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
158.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
158.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
158.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
157.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
157.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
157.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
157.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
156.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
156.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
155.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
155.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
155.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
155.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
154.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
154.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
154.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
154.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
153.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
153.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
153.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
153.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
152.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
152.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
151.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
151.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
151.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
151.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
151.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
151.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
150.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
150.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
150.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
150.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
150.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
149.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
149.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
148.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
148.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
148.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
148.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
148.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
147.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
147.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
147.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
146.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
146.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
145.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
145.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
145.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
145.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
144.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
144.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
144.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
144.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
143.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
143.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
143.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
142.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
142.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
141.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
140.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
140.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
138.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
137.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
137.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
135.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
134.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
134.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
133.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
133.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
133.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
133.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
133.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
131.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
130.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
130.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
130.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
129.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
128.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
128.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
128.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
127.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
126.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
124.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
123.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
123.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
122.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
116.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
100.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
91.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
91.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
17.1
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.
ATF4 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
314.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
704.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
629.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
614.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
532.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
501.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
488.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
468.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
466.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
464.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
453.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
418.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
418.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
406.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
405.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
398.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
394.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
383.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
381.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
374.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
372.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
369.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
369.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
357.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
349.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
346.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
335.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
332.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
331.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
330.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
330.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
329.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
328.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
315.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
313.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
312.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
311.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
310.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
310.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
309.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
309.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
308.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
307.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
299.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
299.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
294.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
293.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
290.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
289.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
287.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
287.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
286.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
286.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
283.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
278.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
277.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
277.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
274.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
273.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
269.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
268.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
267.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
265.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
259.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
258.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
257.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
255.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
252.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
252.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
251.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
250.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
241.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
233.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
232.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
229.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
228.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
225.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
217.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
206.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
199.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
197.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
186.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
184.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
174.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
170.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
166.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
157.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
153.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ATF4 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
178.9
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
427.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
418.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
370.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
336.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
311.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
306.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
297.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
292.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
290.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
284.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
276.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
263.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
260.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
255.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
254.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
251.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
246.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
245.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
241.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
239.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
237.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
236.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
236.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
235.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
235.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
230.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
230.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
230.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
229.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
228.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
227.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
226.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
225.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
224.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
222.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
221.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
220.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
217.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
215.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
215.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
213.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
211.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
211.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
211.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
210.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
210.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
208.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
208.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
208.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
207.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
206.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
205.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
203.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
203.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
202.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
201.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
200.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
200.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
199.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
199.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
198.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
198.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
196.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
196.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
194.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
193.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
193.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
192.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
192.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
192.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
191.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
191.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
191.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
191.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
190.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
187.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
186.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
185.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
185.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
184.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
183.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
182.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
182.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
181.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
181.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
179.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
179.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
178.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
177.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
176.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
176.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
175.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
175.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
174.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
174.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
174.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
173.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
172.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
172.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
172.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
172.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
172.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
172.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
171.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
171.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
170.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
170.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
170.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
168.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
168.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
167.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
167.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
167.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
166.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
166.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
165.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
165.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
164.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
163.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
162.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
162.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
161.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
160.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
160.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
160.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
159.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
157.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
157.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
157.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
156.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
155.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
155.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
155.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
154.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
154.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
153.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
153.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
152.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
152.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
151.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
150.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
150.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
150.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
149.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
149.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
149.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
148.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
148.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
147.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
146.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
146.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
146.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
145.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
145.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
144.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
144.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
144.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
142.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
141.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
141.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
141.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
141.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
140.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
140.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
140.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
140.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
140.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
139.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
138.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
138.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
136.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
136.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
136.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
136.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
135.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
134.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
134.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
134.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
133.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
131.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
128.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
126.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
126.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
125.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
123.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
121.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
120.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
119.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
118.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
117.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
117.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
117.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
116.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
114.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
113.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
113.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
113.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
108.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
105.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
102.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
101.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
99.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
96.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
90.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
88.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
84.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
28.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
