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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.
COL1A1 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
666.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
9784.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
5656.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
4736.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
4558.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
4277.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2972.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
2666.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2640.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
2559.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
2528.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
2232.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
2206.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
2056.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2051.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2030.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1928.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1919.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1896.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1889.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1855.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1791.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1788.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1768.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1700.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1683.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1666.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1507.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1488.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1396.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1391.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1360.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1325.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1292.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1283.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1278.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1256.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1216.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1171.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1137.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1133.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1123.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1120.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1103.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1082.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1068.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1053.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1048.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1045.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1037.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1023.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1007.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1005.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
974.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
947.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
938.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
889.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
874.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
874.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
872.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
835.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
833.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
827.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
822.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
781.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
774.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
771.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
771.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
760.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
745.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
727.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
725.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
694.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
693.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
688.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
674.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
670.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
668.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
612.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
607.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
605.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
602.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
592.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
591.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
588.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
583.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
578.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
575.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
569.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
557.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
557.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
556.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
543.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
542.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
539.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
535.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
519.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
518.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
514.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
514.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
514.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
504.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
503.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
487.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
481.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
479.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
479.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
469.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
465.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
463.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
462.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
460.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
453.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
449.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
442.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
440.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
440.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
433.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
429.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
423.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
408.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
402.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
386.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
381.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
374.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
368.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
361.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
360.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
359.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
358.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
354.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
345.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
339.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
339.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
338.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
335.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
330.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
320.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
317.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
315.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
315.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
315.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
314.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
308.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
302.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
297.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
295.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
283.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
281.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
280.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
280.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
272.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
267.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
265.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
262.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
259.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
254.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
251.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
249.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
241.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
239.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
238.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
224.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
223.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
223.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
221.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
220.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
219.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
216.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
214.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
210.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
207.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
204.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
200.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
196.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
184.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
183.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
182.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
181.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
178.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
178.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
175.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
175.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
171.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
169.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
168.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
168.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
168.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
167.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
165.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
163.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
161.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
159.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
157.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
153.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
150.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
149.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
144.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
144.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
142.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
137.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
133.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
127.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
124.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
121.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
121.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
121.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
114.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
113.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
111.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
111.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
111.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
111.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
107.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
106.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
104.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
101.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
97.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
94.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
92.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
90.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
89.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
88.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
84.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
76.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
76.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
74.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
73.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
69.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
66.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
62.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
60.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
54.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
54.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
52.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
50.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
40.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
40.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
35.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
35.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
32.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
16.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
16.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
12.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 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.
COL1A1 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
1049.7
Number of samples
486
Samples
Sample
Description
TPM
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
7564.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
5813.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
4425.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
4370.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
4036.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
3700.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
3684.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
3610.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
3390.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
3326.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
3136.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
3103.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
3018.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
2999.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
2944.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
2933.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
2893.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
2890.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
2866.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
2840.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
2763.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
2736.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2720.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
2638.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
2625.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
2615.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
2602.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
2571.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
2541.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
2530.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
2508.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
2506.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
2503.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
2451.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
2436.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
2428.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
2413.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
2406.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2344.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
2234.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
2223.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
2215.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
2207.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
2172.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
2169.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
2143.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
2139.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
2093.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
2079.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
2071.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
2024.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
2021.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
2005.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1984.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1980.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1979.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1966.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1963.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1960.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1957.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
1952.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1946.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1940.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1938.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
1937.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1930.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1908.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1891.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1887.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1886.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1884.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1879.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1876.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1872.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1865.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1850.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1844.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
1825.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1821.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1794.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1793.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1788.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1785.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
1776.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
1766.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
1748.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
1744.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1740.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1730.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1724.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1717.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
1699.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1661.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1642.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1640.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1627.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1620.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1608.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1589.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1586.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1583.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1579.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1568.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1566.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1539.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1537.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1535.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1528.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1522.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1511.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
1508.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1500.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
1491.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1490.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1488.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
1458.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1453.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1446.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1439.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1437.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1420.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1417.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1395.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1385.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1382.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1381.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1372.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1368.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1365.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1362.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1340.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1339.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1330.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1329.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1328.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1328.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1323.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1307.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1295.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1294.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1291.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1284.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1278.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1278.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1277.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1276.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1270.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1260.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1251.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1242.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1239.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
1229.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1228.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1227.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1227.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1221.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1218.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1211.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1210.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1205.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1202.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1199.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1198.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1192.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1192.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1188.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
1186.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
1183.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1182.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1179.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1179.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1175.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1151.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1136.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1123.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1118.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1115.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1113.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1113.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
1111.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1109.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1106.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1100.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1100.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1097.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
1092.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1085.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1076.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1074.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1058.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1055.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1052.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
1051.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1047.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1044.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1035.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1032.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1032.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1029.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1029.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
1022.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1018.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1018.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1011.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1008.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
999.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
994.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
994.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
993.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
986.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
985.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
983.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
970.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
969.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
965.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
963.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
958.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
952.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
946.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
946.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
943.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
940.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
939.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
938.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
933.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
931.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
930.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
928.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
924.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
922.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
922.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
920.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
910.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
899.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
893.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
888.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
870.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
865.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
863.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
861.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
855.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
850.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
846.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
846.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
844.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
844.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
838.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
838.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
831.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
818.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
816.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
815.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
805.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
803.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
779.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
769.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
766.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
766.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
762.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
756.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
754.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
754.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
754.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
753.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
752.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
750.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
744.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
739.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
739.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
736.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
730.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
730.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
728.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
724.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
724.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
720.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
720.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
717.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
717.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
717.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
717.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
713.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
710.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
708.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
707.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
707.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
703.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
702.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
701.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
694.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
690.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
690.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
689.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
686.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
668.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
666.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
655.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
651.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
650.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
646.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
645.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
637.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
636.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
635.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
633.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
631.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
630.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
626.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
617.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
606.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
605.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
603.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
599.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
597.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
581.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
580.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
580.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
577.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
576.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
575.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
572.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
572.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
570.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
570.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
561.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
558.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
554.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
550.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
548.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
547.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
540.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
539.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
538.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
537.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
535.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
535.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
535.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
520.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
520.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
512.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
511.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
510.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
500.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
499.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
497.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
493.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
490.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
486.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
485.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
481.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
478.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
477.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
474.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
472.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
467.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
461.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
461.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
458.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
457.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
455.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
451.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
450.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
449.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
447.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
441.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
439.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
430.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
425.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
417.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
415.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
412.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
410.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
408.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
404.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
401.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
398.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
398.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
393.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
392.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
389.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
387.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
385.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
383.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
376.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
372.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
368.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
364.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
355.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
354.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
352.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
339.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
339.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
335.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
335.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
334.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
331.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
330.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
329.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
317.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
312.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
309.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
309.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
307.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
307.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
306.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
304.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
302.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
299.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
295.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
290.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
289.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
286.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
279.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
271.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
269.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
261.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
260.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
259.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
258.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
258.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
251.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
251.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
247.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
246.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
246.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
243.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
241.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
238.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
237.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
234.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
231.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
229.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
228.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
225.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
217.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
213.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
211.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
209.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
208.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
207.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
206.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
203.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
195.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
193.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
190.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
185.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
181.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
175.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
172.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
170.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
154.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
154.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
149.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
136.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
135.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
131.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
121.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
119.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
119.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
116.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
115.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
115.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
113.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
112.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
102.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
97.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
93.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
89.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
89.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
81.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
77.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
70.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
68.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
68.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
66.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
66.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
62.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
56.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
54.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
35.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
COL1A1 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
629.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
6291.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
3087.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2591.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
2327.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1883.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1864.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1830.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1767.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1707.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1526.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1462.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1430.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1272.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1248.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1072.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1011.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
909.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
826.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
809.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
804.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
725.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
705.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
673.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
651.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
592.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
544.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
537.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
515.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
513.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
512.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
512.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
482.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
474.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
473.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
467.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
450.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
435.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
425.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
409.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
406.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
402.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
396.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
387.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
366.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
345.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
338.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
336.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
336.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
323.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
317.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
308.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
294.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
265.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
263.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
261.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
258.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
252.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
250.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
241.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
234.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
227.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
219.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
211.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
208.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
169.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
162.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
141.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
130.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
128.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
119.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
114.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
108.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
107.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
106.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
106.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
102.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
100.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
77.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
77.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
68.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
60.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
52.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
47.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
36.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
32.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
COL1A1 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
1010.2
Number of samples
207
Samples
Sample
Description
TPM
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
8739.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
7062.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
5664.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
4709.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
4262.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
4165.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
3878.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
3693.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
3440.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
3203.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
3164.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
2988.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
2895.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
2844.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
2726.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
2716.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
2698.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
2539.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
2371.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
2302.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
2292.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
2201.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
2200.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
2173.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
2160.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
2134.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
2122.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
2115.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
2096.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
2029.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
2006.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
2000.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1945.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1865.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
1689.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
1678.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1676.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1653.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1640.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
1550.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
1509.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1440.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1413.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1413.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1412.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1381.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1375.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1351.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1338.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
1313.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1279.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
1275.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1272.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
1271.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
1267.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1259.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1240.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1178.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
1169.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1162.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
1128.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1121.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
1106.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1104.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1077.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
1066.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1022.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
1018.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1002.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
995.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
979.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
978.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
956.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
945.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
907.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
904.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
878.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
866.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
850.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
840.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
817.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
807.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
804.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
794.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
793.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
785.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
783.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
778.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
774.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
737.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
730.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
721.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
710.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
703.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
695.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
692.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
691.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
670.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
667.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
640.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
638.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
612.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
609.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
601.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
600.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
581.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
578.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
570.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
568.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
564.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
550.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
548.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
547.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
543.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
532.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
522.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
517.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
503.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
503.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
476.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
469.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
466.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
464.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
456.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
455.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
453.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
450.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
436.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
432.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
424.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
423.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
420.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
414.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
412.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
409.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
407.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
401.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
394.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
393.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
375.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
365.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
365.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
361.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
360.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
357.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
354.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
342.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
341.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
340.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
337.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
334.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
328.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
327.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
321.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
315.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
291.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
280.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
280.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
278.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
278.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
266.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
264.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
255.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
240.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
231.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
230.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
228.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
227.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
220.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
219.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
204.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
199.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
193.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
193.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
185.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
182.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
179.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
179.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
173.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
167.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
161.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
158.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
155.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
126.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
122.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
119.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
112.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
110.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
105.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
101.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
99.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
95.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
89.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
82.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
74.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
73.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
71.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
68.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
68.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
67.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
67.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
62.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
46.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
20.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
1.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
1.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
1.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
1.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.8
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.8
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.9
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-2.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-2.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-2.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-2.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-2.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-2.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-2.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-2.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
