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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.
CEACAM6 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
696.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3008.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
2684.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2548.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2277.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
2270.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2188.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2167.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
2163.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2123.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
2108.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2085.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2017.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1991.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1928.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1922.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1908.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1900.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1807.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1797.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1744.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1720.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1698.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1692.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1685.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1661.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1660.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1640.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1609.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1540.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1538.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1522.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1491.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1455.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1436.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1395.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1383.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1316.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1312.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1310.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1309.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1265.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1259.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1255.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1254.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1252.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1252.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1251.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1249.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1236.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1228.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1217.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1214.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1178.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1175.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1163.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1144.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1117.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1109.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1062.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1024.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1020.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
993.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
990.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
968.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
952.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
948.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
933.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
930.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
926.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
919.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
918.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
915.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
901.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
896.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
888.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
861.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
836.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
827.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
818.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
818.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
796.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
794.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
783.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
769.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
768.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
764.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
762.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
760.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
750.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
746.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
733.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
719.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
708.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
706.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
692.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
690.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
688.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
684.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
683.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
678.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
670.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
668.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
656.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
632.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
628.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
624.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
609.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
599.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
591.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
589.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
572.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
567.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
550.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
548.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
546.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
544.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
534.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
527.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
526.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
513.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
510.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
505.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
504.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
495.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
487.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
478.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
475.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
472.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
468.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
463.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
460.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
457.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
448.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
443.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
438.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
438.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
435.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
430.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
430.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
429.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
429.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
426.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
407.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
402.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
397.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
396.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
394.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
394.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
388.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
376.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
371.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
369.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
368.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
361.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
358.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
353.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
348.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
347.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
340.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
340.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
336.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
335.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
334.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
331.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
330.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
327.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
326.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
326.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
325.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
324.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
323.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
319.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
316.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
315.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
311.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
306.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
305.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
305.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
302.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
295.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
293.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
290.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
286.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
283.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
281.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
280.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
273.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
273.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
272.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
271.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
268.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
263.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
253.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
250.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
248.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
246.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
246.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
244.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
243.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
229.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
227.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
227.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
222.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
221.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
218.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
217.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
216.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
203.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
198.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
194.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
191.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
191.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
187.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
186.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
182.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
179.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
175.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
172.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
169.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
158.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
151.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
151.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
146.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
146.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
130.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
127.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
126.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
124.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
114.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
110.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
106.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
104.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
100.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
98.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
97.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
92.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
92.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
91.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
88.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
87.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
82.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
78.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
64.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
64.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
60.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
57.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
42.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
33.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
32.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
31.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
10.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 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.
CEACAM6 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
748.5
Number of samples
486
Samples
Sample
Description
TPM
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
3752.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
2861.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
2810.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
2776.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
2678.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
2614.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
2484.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
2474.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
2457.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
2441.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
2435.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
2412.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
2408.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
2370.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
2196.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
2179.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
2137.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
2121.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
2093.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
2062.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
2032.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
2007.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
2006.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1946.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1919.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1890.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1880.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1880.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1873.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1873.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
1872.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1862.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1849.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1832.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1831.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1822.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1820.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1812.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1796.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1740.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1737.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1726.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1718.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
1713.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1710.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1681.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1663.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1646.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1644.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1644.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1644.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1632.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1605.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
1605.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1603.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1599.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1593.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1560.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1556.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1543.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
1540.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1540.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1535.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1512.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1510.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1499.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1446.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1438.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1433.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1429.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1426.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1388.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1381.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1374.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1371.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
1354.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1353.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
1339.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1337.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
1337.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1323.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
1300.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1288.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1286.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1263.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1258.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1254.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1240.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1230.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1220.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
1202.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1194.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1187.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1182.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1179.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1176.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1163.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1159.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1156.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1156.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1155.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1143.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1140.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1138.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1138.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1137.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1122.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1120.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1118.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1102.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1085.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1085.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1078.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
1076.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1073.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1069.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1065.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1052.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1049.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1008.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1000.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
998.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
988.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
982.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
978.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
972.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
964.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
958.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
955.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
952.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
948.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
943.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
942.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
938.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
937.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
916.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
915.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
915.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
915.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
914.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
910.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
908.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
907.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
902.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
901.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
893.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
888.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
886.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
885.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
884.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
882.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
875.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
868.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
866.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
857.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
856.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
854.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
851.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
846.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
839.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
833.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
825.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
823.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
814.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
796.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
793.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
792.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
791.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
788.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
786.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
778.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
774.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
770.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
769.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
768.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
766.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
765.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
764.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
763.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
760.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
760.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
760.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
759.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
757.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
757.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
754.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
743.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
738.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
733.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
731.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
731.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
725.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
719.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
719.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
716.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
714.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
713.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
712.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
711.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
709.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
706.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
704.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
703.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
702.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
695.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
693.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
692.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
687.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
682.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
676.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
670.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
670.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
669.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
659.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
656.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
654.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
645.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
643.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
643.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
641.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
638.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
636.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
636.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
633.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
623.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
622.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
621.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
620.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
617.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
615.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
613.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
613.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
611.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
607.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
603.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
599.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
596.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
596.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
594.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
588.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
588.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
584.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
580.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
576.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
576.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
576.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
569.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
567.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
563.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
558.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
557.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
552.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
551.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
551.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
549.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
548.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
543.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
542.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
535.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
534.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
533.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
533.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
533.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
532.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
531.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
530.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
527.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
525.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
520.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
517.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
517.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
516.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
514.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
513.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
510.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
510.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
507.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
507.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
505.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
502.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
500.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
498.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
496.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
494.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
492.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
490.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
489.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
478.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
477.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
476.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
473.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
473.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
472.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
468.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
463.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
459.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
457.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
456.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
454.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
452.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
452.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
449.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
448.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
444.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
436.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
435.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
433.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
428.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
428.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
428.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
422.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
421.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
418.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
410.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
410.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
408.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
407.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
405.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
404.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
402.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
401.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
400.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
398.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
393.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
390.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
390.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
388.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
385.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
384.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
383.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
381.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
377.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
376.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
369.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
365.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
361.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
361.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
359.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
354.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
354.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
350.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
350.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
346.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
344.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
342.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
334.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
331.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
322.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
322.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
321.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
320.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
320.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
318.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
313.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
313.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
311.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
309.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
306.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
305.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
301.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
293.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
292.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
291.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
291.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
289.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
289.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
287.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
287.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
287.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
287.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
280.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
279.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
273.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
271.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
271.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
270.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
270.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
270.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
269.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
269.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
264.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
263.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
262.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
262.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
261.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
257.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
256.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
256.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
255.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
255.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
254.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
252.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
252.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
252.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
251.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
251.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
249.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
248.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
244.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
241.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
237.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
233.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
233.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
229.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
228.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
227.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
223.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
222.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
222.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
222.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
220.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
219.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
209.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
207.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
207.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
197.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
196.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
190.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
187.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
184.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
183.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
181.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
181.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
180.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
180.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
176.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
175.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
172.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
172.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
171.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
170.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
168.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
167.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
157.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
155.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
150.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
148.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
147.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
143.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
142.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
142.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
141.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
141.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
138.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
134.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
131.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
129.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
127.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
125.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
121.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
120.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
119.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
117.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
117.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
117.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
114.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
110.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
109.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
107.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
106.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
105.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
95.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
93.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
90.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
87.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
82.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
75.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
72.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
63.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
62.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
56.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
55.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
44.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
44.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
35.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
33.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
28.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
27.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
26.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
21.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
18.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 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.
CEACAM6 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
879.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
2749.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2685.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2179.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2063.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2014.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1837.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1740.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1696.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1685.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1570.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1564.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1537.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1526.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1499.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1477.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1407.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1391.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1330.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1325.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1270.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1240.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1222.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1182.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1168.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1132.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1126.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1122.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1117.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1107.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1105.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1072.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
1070.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1053.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
949.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
949.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
927.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
886.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
875.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
867.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
856.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
832.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
827.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
758.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
744.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
737.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
733.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
720.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
696.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
690.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
665.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
664.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
651.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
645.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
611.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
594.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
578.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
575.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
540.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
538.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
528.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
519.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
512.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
510.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
493.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
490.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
487.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
476.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
473.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
458.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
404.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
402.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
388.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
362.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
283.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
265.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
241.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
231.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
225.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
216.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
188.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
186.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
185.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
176.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
110.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
78.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
57.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
46.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 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.
CEACAM6 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
857.0
Number of samples
207
Samples
Sample
Description
TPM
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
2588.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
2559.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
2402.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
2150.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
2105.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2103.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
2089.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
2041.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
2014.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1975.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
1973.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1966.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1965.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1962.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1942.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1914.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1913.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1889.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1884.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1839.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1818.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1812.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1735.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1704.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1703.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1657.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1629.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
1561.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1554.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1551.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1511.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
1488.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1438.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1429.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1426.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1414.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1394.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1390.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
1385.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1362.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1326.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1309.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1295.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
1287.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1267.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
1254.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
1244.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1233.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1217.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1214.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1208.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1179.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
1161.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1150.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1149.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
1148.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
1122.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
1120.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
1110.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
1089.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1083.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1081.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
1074.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1058.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1057.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1033.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1018.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1014.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
1001.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
992.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
981.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
941.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
935.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
931.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
927.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
920.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
894.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
880.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
877.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
875.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
872.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
871.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
865.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
860.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
852.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
851.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
839.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
838.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
833.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
822.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
818.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
813.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
790.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
786.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
784.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
778.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
765.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
764.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
758.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
754.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
752.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
748.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
747.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
746.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
744.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
738.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
734.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
723.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
723.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
720.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
699.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
686.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
683.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
682.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
676.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
657.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
648.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
646.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
625.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
622.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
604.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
600.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
598.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
595.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
593.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
586.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
564.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
561.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
553.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
551.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
542.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
525.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
524.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
521.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
521.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
507.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
500.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
500.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
496.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
494.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
490.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
488.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
486.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
485.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
475.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
473.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
456.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
452.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
433.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
429.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
424.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
418.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
416.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
402.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
399.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
398.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
398.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
397.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
396.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
395.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
374.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
372.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
370.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
360.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
357.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
345.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
336.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
333.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
324.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
320.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
316.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
312.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
312.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
312.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
308.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
305.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
302.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
298.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
297.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
287.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
283.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
276.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
271.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
268.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
267.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
259.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
250.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
246.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
246.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
244.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
237.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
231.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
226.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
225.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
224.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
208.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
187.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
156.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
117.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
114.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
111.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
77.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
73.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
60.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
28.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
9.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
2.9
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
2.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
2.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
1.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
1.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
1.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
1.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
1.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
1.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
1.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.8
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.9
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.9
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-1.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-1.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-1.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-1.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-1.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-1.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-1.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-1.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-1.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-1.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-1.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-1.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-1.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.8
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-1.9
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-1.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-2.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
-2.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-2.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-2.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-2.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-2.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-2.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-2.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-2.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-2.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-2.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-2.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-2.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-2.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-3.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-3.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-3.3
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
