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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.
TIMP1 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
547.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
2288.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2262.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1879.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1726.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1613.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1598.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1531.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1503.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1328.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1315.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1252.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1236.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1179.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1159.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1072.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1042.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1018.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1013.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1000.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
987.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
982.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
975.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
970.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
942.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
925.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
907.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
901.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
877.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
867.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
861.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
853.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
839.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
815.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
809.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
796.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
795.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
795.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
791.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
787.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
780.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
776.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
763.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
752.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
741.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
737.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
733.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
733.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
732.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
731.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
725.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
723.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
723.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
718.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
715.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
708.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
706.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
700.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
695.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
695.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
694.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
693.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
692.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
688.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
682.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
681.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
680.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
678.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
676.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
675.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
674.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
672.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
671.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
668.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
664.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
663.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
661.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
661.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
660.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
658.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
650.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
641.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
641.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
640.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
638.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
638.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
635.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
626.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
624.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
620.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
619.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
616.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
612.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
612.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
608.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
605.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
605.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
604.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
596.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
588.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
588.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
585.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
583.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
581.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
570.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
556.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
555.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
554.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
547.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
538.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
531.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
526.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
526.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
520.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
516.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
515.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
514.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
511.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
509.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
509.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
506.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
503.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
495.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
494.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
492.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
489.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
483.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
479.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
476.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
473.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
470.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
469.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
468.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
468.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
468.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
460.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
460.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
459.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
458.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
450.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
450.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
449.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
442.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
440.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
439.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
431.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
430.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
428.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
420.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
419.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
418.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
417.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
415.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
411.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
406.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
403.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
401.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
397.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
395.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
394.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
393.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
393.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
393.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
391.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
389.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
382.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
380.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
374.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
371.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
370.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
366.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
362.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
361.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
357.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
354.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
351.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
345.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
343.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
343.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
342.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
342.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
336.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
332.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
332.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
331.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
328.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
327.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
323.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
323.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
317.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
317.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
315.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
315.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
311.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
300.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
292.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
289.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
286.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
286.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
285.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
284.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
284.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
280.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
280.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
278.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
276.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
272.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
271.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
269.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
266.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
264.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
263.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
254.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
251.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
244.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
243.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
242.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
240.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
239.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
234.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
232.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
231.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
229.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
226.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
226.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
225.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
221.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
219.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
214.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
208.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
208.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
208.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
205.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
203.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
202.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
201.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
200.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
196.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
187.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
182.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
177.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
176.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
171.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
165.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
164.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
161.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
156.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
155.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
155.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
126.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
122.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
121.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
106.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
86.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 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.
TIMP1 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
511.6
Number of samples
486
Samples
Sample
Description
TPM
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
2587.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2058.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
2003.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1975.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1918.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1722.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1710.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1575.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1526.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1418.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1328.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1300.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1296.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1290.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1266.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1249.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1245.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1223.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1219.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1203.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1189.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1171.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1140.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1138.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1135.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1127.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1122.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1098.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1068.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1064.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1062.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1035.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1035.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1021.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1020.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1015.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1011.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
989.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
980.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
970.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
958.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
952.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
951.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
947.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
939.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
937.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
930.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
920.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
918.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
909.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
904.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
902.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
900.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
894.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
888.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
886.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
880.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
875.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
873.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
865.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
864.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
859.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
856.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
856.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
851.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
833.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
831.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
824.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
822.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
820.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
819.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
809.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
809.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
794.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
790.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
789.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
787.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
784.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
780.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
779.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
777.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
769.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
762.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
756.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
753.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
751.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
749.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
745.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
736.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
735.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
734.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
729.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
727.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
727.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
725.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
719.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
717.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
717.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
717.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
715.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
715.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
713.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
709.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
706.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
706.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
706.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
704.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
703.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
701.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
701.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
700.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
696.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
691.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
691.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
685.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
679.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
677.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
667.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
665.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
664.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
660.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
657.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
654.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
648.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
646.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
644.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
644.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
643.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
642.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
636.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
636.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
635.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
629.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
624.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
621.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
618.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
612.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
609.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
608.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
607.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
602.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
599.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
599.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
598.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
598.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
596.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
594.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
593.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
591.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
589.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
587.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
584.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
580.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
575.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
574.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
573.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
571.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
571.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
570.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
570.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
568.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
567.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
565.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
561.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
559.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
554.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
552.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
548.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
546.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
544.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
544.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
544.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
543.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
536.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
533.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
532.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
528.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
527.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
524.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
523.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
521.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
516.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
515.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
514.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
509.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
508.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
502.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
498.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
497.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
497.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
496.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
495.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
493.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
493.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
493.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
486.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
481.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
478.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
478.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
471.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
469.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
467.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
465.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
463.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
461.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
461.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
461.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
460.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
457.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
457.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
455.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
454.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
454.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
454.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
453.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
451.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
449.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
449.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
448.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
446.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
446.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
446.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
445.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
444.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
444.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
439.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
439.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
439.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
439.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
438.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
436.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
435.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
434.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
433.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
433.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
430.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
428.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
427.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
426.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
424.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
423.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
423.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
423.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
421.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
419.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
419.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
418.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
416.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
416.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
415.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
415.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
414.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
414.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
414.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
413.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
412.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
411.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
411.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
410.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
410.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
410.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
409.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
409.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
406.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
404.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
401.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
400.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
398.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
397.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
397.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
395.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
392.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
391.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
390.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
389.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
389.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
384.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
383.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
382.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
381.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
380.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
376.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
375.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
374.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
374.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
374.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
374.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
372.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
370.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
370.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
370.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
369.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
369.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
369.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
368.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
368.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
367.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
367.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
366.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
364.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
364.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
361.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
361.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
359.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
359.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
358.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
358.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
357.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
355.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
353.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
351.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
350.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
349.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
348.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
345.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
343.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
341.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
341.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
340.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
339.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
337.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
337.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
337.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
336.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
332.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
331.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
330.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
324.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
324.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
323.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
322.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
321.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
320.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
320.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
320.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
318.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
318.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
317.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
317.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
317.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
314.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
313.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
313.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
312.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
311.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
310.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
309.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
308.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
308.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
307.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
307.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
307.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
306.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
306.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
306.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
305.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
304.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
304.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
304.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
303.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
303.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
303.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
301.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
299.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
297.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
292.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
291.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
290.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
288.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
287.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
281.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
279.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
276.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
276.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
275.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
274.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
273.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
270.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
269.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
269.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
267.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
265.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
265.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
263.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
262.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
261.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
258.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
256.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
255.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
254.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
254.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
253.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
252.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
250.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
250.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
248.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
247.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
247.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
246.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
246.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
245.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
245.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
243.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
243.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
243.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
242.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
241.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
239.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
237.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
236.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
234.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
233.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
232.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
231.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
231.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
225.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
223.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
222.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
220.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
220.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
220.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
220.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
219.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
219.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
218.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
218.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
218.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
216.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
213.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
212.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
211.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
210.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
208.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
208.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
207.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
205.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
205.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
202.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
199.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
197.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
197.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
196.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
196.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
193.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
191.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
189.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
187.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
182.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
181.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
179.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
178.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
177.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
176.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
173.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
173.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
172.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
164.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
163.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
162.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
159.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
156.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
156.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
150.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
149.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
149.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
146.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
142.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
142.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
141.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
141.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
134.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
133.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
129.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
129.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
120.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
119.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
117.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
110.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
108.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
103.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
96.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
88.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
79.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
43.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
21.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TIMP1 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
535.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1725.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1710.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1376.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1265.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1260.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
1076.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1076.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1042.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1031.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
875.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
867.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
847.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
827.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
813.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
778.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
774.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
760.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
735.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
718.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
687.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
676.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
672.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
641.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
609.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
571.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
567.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
566.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
560.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
552.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
538.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
532.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
529.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
518.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
514.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
477.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
469.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
460.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
457.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
455.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
453.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
443.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
441.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
434.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
432.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
432.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
431.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
426.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
416.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
405.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
393.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
393.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
388.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
387.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
386.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
385.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
382.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
377.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
377.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
368.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
364.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
356.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
354.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
351.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
350.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
342.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
341.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
339.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
335.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
333.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
330.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
323.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
311.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
309.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
305.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
305.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
295.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
283.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
282.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
266.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
260.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
257.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
246.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
231.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
223.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
221.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
216.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 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.
TIMP1 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
525.3
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
18528.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
2969.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2584.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1821.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1642.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1624.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1367.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
1160.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1087.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1024.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
1021.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
991.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
981.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
936.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
934.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
923.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
864.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
803.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
802.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
795.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
791.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
753.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
749.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
719.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
711.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
709.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
705.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
704.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
703.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
701.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
688.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
674.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
662.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
655.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
654.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
628.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
615.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
610.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
580.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
574.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
564.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
563.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
555.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
551.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
545.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
540.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
540.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
530.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
522.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
521.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
515.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
508.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
504.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
497.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
494.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
489.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
486.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
481.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
480.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
469.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
469.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
465.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
465.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
452.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
452.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
450.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
449.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
448.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
447.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
436.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
436.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
434.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
429.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
427.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
421.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
417.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
415.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
415.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
414.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
411.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
408.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
406.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
405.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
399.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
397.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
396.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
381.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
377.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
373.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
372.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
371.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
367.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
365.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
364.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
359.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
356.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
356.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
355.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
350.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
345.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
344.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
341.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
341.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
340.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
340.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
338.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
334.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
330.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
326.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
325.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
324.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
320.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
318.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
317.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
316.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
314.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
313.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
309.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
308.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
302.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
300.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
300.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
300.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
300.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
300.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
298.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
297.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
297.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
296.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
296.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
291.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
288.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
288.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
286.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
281.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
279.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
275.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
275.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
272.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
271.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
264.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
264.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
263.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
262.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
260.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
258.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
256.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
253.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
252.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
251.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
245.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
243.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
241.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
239.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
238.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
238.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
234.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
232.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
231.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
231.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
227.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
226.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
225.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
225.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
223.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
223.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
223.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
221.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
220.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
219.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
219.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
218.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
214.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
210.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
207.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
207.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
205.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
198.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
192.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
191.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
187.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
184.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
184.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
182.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
180.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
178.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
178.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
175.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
172.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
171.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
168.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
167.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
166.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
165.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
165.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
161.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
158.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
154.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
149.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
149.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
139.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
124.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
105.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
101.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
98.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
86.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
32.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
2.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
1.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
1.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
1.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
1.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
1.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.9
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.8
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
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Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
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Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.8
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.9
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.9
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.9
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-1.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-2.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
