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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.
SPARC 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
578.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
7069.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
3912.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
3376.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
3085.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
2967.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
2145.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
2097.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2013.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
1963.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1955.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1932.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1911.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1899.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1761.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1725.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1722.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1703.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1611.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1593.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1536.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1497.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1467.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1417.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1376.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1358.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1329.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1260.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1220.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1173.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1171.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1153.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1122.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1120.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1109.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1095.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1090.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1019.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
996.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
983.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
976.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
975.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
937.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
917.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
911.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
908.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
896.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
895.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
888.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
860.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
852.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
851.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
823.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
799.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
785.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
785.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
778.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
752.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
752.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
746.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
710.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
705.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
684.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
679.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
648.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
640.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
635.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
632.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
631.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
630.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
628.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
626.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
622.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
618.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
613.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
608.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
602.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
591.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
582.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
582.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
582.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
580.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
577.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
569.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
561.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
559.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
557.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
553.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
541.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
539.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
538.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
533.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
533.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
532.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
531.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
527.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
504.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
493.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
493.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
491.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
488.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
485.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
485.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
478.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
470.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
467.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
464.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
457.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
455.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
450.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
445.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
443.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
431.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
429.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
429.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
428.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
427.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
419.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
419.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
417.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
415.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
413.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
413.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
408.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
399.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
399.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
393.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
390.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
386.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
384.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
381.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
371.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
370.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
359.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
353.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
353.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
353.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
353.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
342.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
332.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
327.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
325.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
321.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
314.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
312.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
308.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
299.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
298.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
297.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
296.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
295.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
293.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
285.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
284.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
283.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
277.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
273.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
273.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
268.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
266.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
264.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
261.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
251.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
245.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
244.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
243.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
242.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
240.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
238.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
234.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
234.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
225.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
224.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
222.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
220.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
218.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
217.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
217.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
212.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
205.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
202.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
197.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
192.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
191.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
191.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
190.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
188.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
185.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
183.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
176.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
173.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
171.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
170.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
167.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
167.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
167.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
166.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
163.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
155.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
153.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
153.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
152.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
152.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
151.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
146.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
145.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
145.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
142.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
138.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
131.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
126.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
122.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
116.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
116.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
114.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
110.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
105.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
103.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
100.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
100.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
97.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
96.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
95.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
94.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
90.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
85.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
83.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
79.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
74.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
73.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
71.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
66.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
63.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
61.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
60.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
59.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
57.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
53.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
51.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
49.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
48.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
46.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
38.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
32.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
29.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
22.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SPARC 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
675.9
Number of samples
486
Samples
Sample
Description
TPM
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
3298.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
3037.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
2458.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
2440.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
2292.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
2153.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
2061.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
2060.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
2059.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
2059.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
2053.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1960.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1911.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1909.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1900.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1834.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1787.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1747.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1745.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1742.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1703.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1657.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1637.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1634.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1625.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1619.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1573.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1562.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1536.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1525.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1513.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1449.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1433.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1432.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1412.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1409.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1389.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1369.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1339.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1332.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1329.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
1328.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1324.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1323.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1308.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1296.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1284.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1282.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1279.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
1279.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1272.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1248.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1245.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1235.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1224.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1215.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
1210.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1186.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1179.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1175.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1169.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1168.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1156.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1155.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
1147.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1132.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1122.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1103.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1088.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1087.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1082.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1070.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1070.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1065.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1062.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1060.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
1058.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1046.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1034.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1020.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1012.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1010.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1010.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
996.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
994.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
981.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
981.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
980.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
974.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
973.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
964.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
961.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
959.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
956.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
955.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
949.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
944.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
933.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
931.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
923.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
920.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
915.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
910.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
908.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
906.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
889.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
886.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
880.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
880.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
879.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
878.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
877.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
874.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
874.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
872.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
866.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
862.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
860.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
853.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
853.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
853.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
850.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
844.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
840.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
835.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
833.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
823.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
823.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
822.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
821.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
821.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
820.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
815.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
815.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
812.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
811.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
810.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
810.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
804.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
803.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
798.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
794.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
794.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
792.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
791.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
791.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
786.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
786.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
785.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
783.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
782.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
778.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
775.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
772.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
769.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
767.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
763.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
763.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
760.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
759.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
759.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
758.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
755.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
752.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
751.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
750.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
748.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
744.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
741.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
740.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
737.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
736.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
732.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
731.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
731.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
730.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
730.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
726.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
724.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
724.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
723.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
720.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
719.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
713.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
711.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
709.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
709.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
706.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
698.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
693.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
693.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
691.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
687.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
685.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
683.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
679.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
677.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
673.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
669.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
669.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
660.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
660.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
660.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
659.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
657.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
654.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
654.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
654.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
649.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
646.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
643.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
641.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
638.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
637.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
636.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
636.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
636.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
632.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
631.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
628.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
627.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
624.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
624.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
622.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
621.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
618.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
614.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
609.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
609.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
607.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
602.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
600.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
598.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
597.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
596.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
590.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
586.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
581.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
578.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
573.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
572.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
571.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
570.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
570.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
570.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
568.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
567.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
564.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
559.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
557.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
555.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
555.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
550.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
549.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
546.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
544.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
543.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
542.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
541.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
538.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
538.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
534.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
534.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
531.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
529.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
528.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
527.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
524.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
524.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
523.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
522.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
521.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
520.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
520.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
516.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
515.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
515.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
509.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
509.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
508.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
508.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
506.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
502.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
502.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
500.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
500.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
498.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
496.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
496.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
491.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
491.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
489.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
486.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
486.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
486.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
484.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
482.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
480.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
476.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
475.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
475.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
471.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
468.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
468.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
465.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
461.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
457.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
457.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
456.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
453.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
449.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
447.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
445.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
444.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
442.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
442.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
439.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
439.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
434.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
433.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
433.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
432.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
432.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
432.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
426.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
426.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
425.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
423.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
423.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
422.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
422.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
419.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
417.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
414.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
414.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
413.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
410.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
405.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
404.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
403.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
403.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
403.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
402.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
400.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
396.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
395.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
394.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
394.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
393.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
391.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
390.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
389.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
386.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
383.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
382.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
381.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
380.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
379.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
377.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
377.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
375.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
374.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
374.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
373.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
370.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
370.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
368.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
368.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
368.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
366.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
365.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
363.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
362.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
356.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
355.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
348.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
346.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
346.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
343.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
342.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
334.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
334.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
332.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
326.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
325.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
324.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
316.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
313.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
306.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
304.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
302.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
301.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
300.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
298.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
293.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
286.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
285.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
285.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
285.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
284.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
277.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
276.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
272.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
270.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
269.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
268.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
266.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
265.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
265.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
263.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
260.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
259.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
256.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
251.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
250.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
247.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
247.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
246.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
244.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
238.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
238.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
238.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
236.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
233.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
233.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
228.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
227.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
227.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
226.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
226.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
222.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
222.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
216.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
215.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
214.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
212.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
212.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
210.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
209.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
209.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
197.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
195.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
192.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
192.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
192.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
190.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
185.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
180.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
176.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
174.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
171.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
171.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
169.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
166.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
163.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
163.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
162.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
162.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
161.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
160.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
158.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
151.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
143.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
138.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
131.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
130.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
125.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
124.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
121.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
120.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
115.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
109.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
109.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
107.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
99.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
89.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
86.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
85.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
83.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
79.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
77.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
61.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
57.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
57.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
26.3
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.
SPARC 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
585.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
3597.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
3458.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
2018.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1919.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1574.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1559.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1545.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1415.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1339.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1274.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1193.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1042.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
947.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
937.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
920.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
904.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
848.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
795.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
741.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
705.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
677.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
669.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
664.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
661.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
644.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
640.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
634.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
620.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
609.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
597.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
588.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
565.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
555.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
552.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
536.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
526.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
508.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
489.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
454.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
451.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
450.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
434.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
410.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
405.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
398.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
390.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
380.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
371.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
371.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
366.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
353.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
352.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
351.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
335.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
328.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
313.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
305.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
299.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
298.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
294.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
281.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
263.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
249.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
242.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
242.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
225.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
218.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
207.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
203.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
184.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
177.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
170.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
162.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
140.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
128.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
121.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
104.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
78.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
76.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
72.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
71.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
58.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
56.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
52.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
44.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
39.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
18.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SPARC 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
650.6
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
4744.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
3977.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
3618.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
2314.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
2308.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
2267.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
2083.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
1861.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1805.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
1796.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
1749.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1733.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
1707.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1594.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1572.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1505.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1467.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1441.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
1438.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1432.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1388.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1383.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1318.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1312.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1308.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
1297.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1286.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1282.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1237.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
1219.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1135.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1132.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
1122.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
1113.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1104.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
1080.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
1074.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1039.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1026.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
1009.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
955.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
928.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
914.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
911.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
908.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
887.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
837.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
837.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
833.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
826.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
820.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
804.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
792.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
766.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
762.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
732.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
732.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
729.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
728.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
715.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
711.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
704.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
700.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
693.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
686.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
670.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
667.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
666.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
661.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
661.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
656.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
655.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
653.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
645.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
634.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
631.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
602.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
600.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
595.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
577.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
572.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
571.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
564.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
562.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
559.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
557.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
548.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
528.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
520.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
516.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
509.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
505.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
490.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
488.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
487.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
486.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
484.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
482.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
478.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
477.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
475.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
459.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
445.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
439.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
439.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
434.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
425.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
425.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
423.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
420.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
417.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
415.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
412.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
410.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
409.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
409.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
409.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
408.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
406.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
398.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
398.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
398.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
391.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
388.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
387.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
379.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
372.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
370.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
363.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
361.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
352.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
349.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
345.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
341.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
339.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
334.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
327.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
326.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
324.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
324.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
312.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
310.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
309.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
309.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
308.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
300.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
300.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
296.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
291.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
289.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
281.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
278.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
278.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
277.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
276.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
273.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
273.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
265.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
260.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
249.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
249.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
239.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
233.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
228.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
224.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
224.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
223.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
219.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
219.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
217.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
216.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
202.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
201.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
200.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
196.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
194.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
194.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
186.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
186.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
186.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
186.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
171.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
162.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
159.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
130.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
129.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
127.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
117.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
116.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
115.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
113.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
112.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
111.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
110.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
98.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
91.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
90.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
88.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
87.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
85.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
81.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
73.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
71.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
68.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
63.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
44.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.9
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.0
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
