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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.
TSPAN3 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
270.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1157.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
949.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
762.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
750.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
679.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
586.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
564.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
558.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
526.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
514.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
502.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
495.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
488.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
486.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
484.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
481.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
480.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
478.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
473.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
466.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
454.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
441.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
439.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
435.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
433.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
415.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
411.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
408.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
403.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
399.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
394.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
383.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
381.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
372.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
370.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
368.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
367.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
353.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
353.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
351.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
350.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
350.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
349.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
348.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
345.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
342.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
338.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
334.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
332.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
332.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
330.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
329.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
328.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
326.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
326.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
322.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
321.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
320.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
319.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
317.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
316.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
314.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
314.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
312.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
310.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
310.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
307.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
304.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
304.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
303.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
302.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
301.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
301.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
301.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
300.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
299.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
298.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
298.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
297.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
297.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
297.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
295.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
295.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
292.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
292.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
291.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
289.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
289.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
284.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
283.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
283.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
279.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
279.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
276.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
275.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
272.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
271.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
270.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
268.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
268.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
267.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
267.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
265.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
263.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
261.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
261.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
260.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
260.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
259.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
258.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
257.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
256.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
255.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
255.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
255.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
252.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
252.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
251.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
250.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
249.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
249.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
249.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
248.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
247.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
247.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
246.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
244.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
244.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
243.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
243.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
243.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
242.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
242.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
240.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
237.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
237.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
235.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
235.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
235.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
234.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
233.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
233.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
232.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
230.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
229.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
229.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
229.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
229.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
228.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
228.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
226.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
223.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
223.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
223.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
223.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
222.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
222.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
222.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
222.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
220.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
218.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
218.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
217.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
217.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
216.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
215.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
214.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
213.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
213.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
210.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
209.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
208.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
208.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
207.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
207.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
206.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
206.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
206.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
205.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
202.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
201.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
201.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
200.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
199.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
199.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
198.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
198.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
197.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
196.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
194.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
193.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
193.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
191.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
189.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
188.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
186.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
184.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
182.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
180.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
176.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
176.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
175.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
173.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
172.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
171.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
171.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
168.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
167.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
167.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
166.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
165.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
165.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
165.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
164.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
161.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
160.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
159.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
158.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
155.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
153.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
152.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
151.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
150.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
150.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
149.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
149.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
147.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
147.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
146.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
145.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
144.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
144.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
144.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
142.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
142.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
141.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
139.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
135.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
135.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
135.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
135.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
133.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
132.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
127.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
120.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
118.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
116.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
116.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
112.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
111.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
108.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
98.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
85.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
TSPAN3 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
281.9
Number of samples
486
Samples
Sample
Description
TPM
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
868.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
771.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
724.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
720.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
663.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
637.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
632.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
625.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
609.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
609.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
606.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
595.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
572.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
571.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
553.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
552.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
549.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
548.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
528.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
524.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
519.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
486.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
474.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
470.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
468.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
464.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
456.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
456.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
454.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
454.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
449.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
445.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
445.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
441.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
441.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
441.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
440.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
438.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
438.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
435.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
431.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
431.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
429.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
429.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
424.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
420.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
420.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
419.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
417.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
417.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
416.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
412.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
412.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
411.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
410.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
410.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
408.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
408.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
408.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
404.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
402.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
400.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
399.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
396.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
393.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
393.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
392.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
390.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
389.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
388.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
387.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
385.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
383.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
381.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
380.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
375.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
375.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
374.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
374.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
373.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
373.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
372.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
372.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
369.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
367.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
367.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
367.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
366.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
364.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
364.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
364.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
364.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
362.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
362.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
362.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
361.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
360.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
359.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
358.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
357.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
355.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
354.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
352.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
350.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
349.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
348.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
347.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
346.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
345.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
345.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
344.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
343.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
342.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
341.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
340.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
340.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
340.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
339.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
339.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
338.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
338.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
338.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
336.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
335.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
334.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
334.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
333.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
331.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
331.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
330.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
329.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
328.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
328.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
326.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
326.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
326.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
325.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
324.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
323.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
322.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
322.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
321.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
321.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
320.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
316.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
315.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
315.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
314.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
313.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
313.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
312.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
312.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
311.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
310.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
310.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
310.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
310.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
309.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
308.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
307.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
306.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
305.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
305.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
304.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
301.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
300.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
300.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
300.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
300.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
300.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
298.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
298.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
297.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
296.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
295.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
295.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
294.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
294.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
294.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
294.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
294.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
293.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
293.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
291.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
291.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
290.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
290.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
289.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
288.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
288.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
287.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
287.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
285.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
284.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
283.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
283.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
283.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
282.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
282.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
281.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
281.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
281.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
281.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
281.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
280.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
277.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
276.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
276.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
276.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
274.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
274.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
274.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
273.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
272.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
272.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
272.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
272.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
271.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
271.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
271.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
271.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
270.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
270.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
268.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
268.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
268.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
268.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
267.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
266.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
265.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
264.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
264.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
264.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
263.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
262.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
262.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
262.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
261.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
261.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
260.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
259.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
258.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
258.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
257.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
256.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
256.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
256.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
256.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
255.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
255.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
255.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
254.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
254.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
254.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
253.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
252.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
252.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
252.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
251.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
251.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
250.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
250.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
250.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
249.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
249.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
249.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
249.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
248.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
247.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
247.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
247.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
246.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
246.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
246.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
245.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
245.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
245.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
244.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
244.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
244.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
243.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
243.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
243.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
242.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
242.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
242.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
241.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
240.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
240.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
239.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
239.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
239.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
239.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
239.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
239.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
238.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
238.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
238.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
237.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
237.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
236.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
235.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
234.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
234.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
234.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
234.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
234.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
233.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
233.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
233.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
232.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
232.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
231.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
230.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
230.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
229.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
228.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
228.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
228.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
228.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
227.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
227.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
227.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
227.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
226.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
226.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
225.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
224.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
224.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
223.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
223.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
222.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
220.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
220.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
219.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
219.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
218.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
218.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
217.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
216.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
216.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
216.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
216.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
216.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
215.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
215.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
214.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
214.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
214.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
213.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
213.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
213.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
212.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
212.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
212.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
212.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
211.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
211.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
211.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
208.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
208.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
208.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
208.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
207.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
207.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
207.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
207.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
207.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
207.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
207.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
206.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
206.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
205.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
204.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
204.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
203.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
203.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
202.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
201.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
201.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
201.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
199.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
198.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
198.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
198.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
197.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
197.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
196.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
194.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
194.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
194.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
194.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
193.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
193.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
193.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
193.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
191.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
191.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
191.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
190.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
190.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
190.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
189.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
188.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
188.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
188.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
187.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
187.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
185.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
184.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
184.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
184.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
184.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
183.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
183.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
183.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
183.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
182.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
181.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
181.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
180.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
179.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
179.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
178.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
178.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
177.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
177.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
176.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
175.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
174.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
174.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
172.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
171.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
169.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
167.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
166.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
166.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
165.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
164.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
164.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
164.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
164.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
164.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
164.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
163.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
163.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
159.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
158.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
158.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
158.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
157.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
156.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
155.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
155.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
155.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
154.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
154.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
153.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
152.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
152.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
151.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
150.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
150.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
148.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
144.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
143.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
141.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
140.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
136.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
135.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
135.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
135.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
134.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
133.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
131.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
129.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
126.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
121.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
111.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
106.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
102.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
100.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
96.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
84.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.6
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.
TSPAN3 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
256.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
504.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
503.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
484.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
446.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
425.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
406.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
399.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
391.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
386.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
381.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
381.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
381.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
379.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
377.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
374.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
359.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
350.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
346.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
344.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
340.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
323.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
318.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
313.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
312.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
305.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
301.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
301.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
293.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
293.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
292.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
289.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
286.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
286.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
270.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
269.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
267.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
264.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
260.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
258.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
254.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
254.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
251.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
242.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
239.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
239.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
237.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
235.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
231.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
229.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
228.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
227.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
225.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
223.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
217.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
213.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
207.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
206.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
197.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
196.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
194.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
188.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
186.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
185.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
182.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
181.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
179.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
176.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
174.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
171.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
168.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
167.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
163.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
162.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
160.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
151.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
148.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
148.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
146.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
145.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
143.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
141.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
141.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
140.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
140.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
132.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
121.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
120.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TSPAN3 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
246.6
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
680.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
618.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
519.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
510.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
473.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
462.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
459.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
425.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
422.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
420.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
418.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
415.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
406.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
385.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
383.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
376.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
368.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
367.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
366.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
358.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
358.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
354.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
349.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
348.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
344.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
341.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
341.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
339.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
337.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
337.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
333.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
331.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
329.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
329.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
326.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
324.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
324.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
321.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
320.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
319.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
317.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
314.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
314.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
312.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
312.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
310.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
309.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
309.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
308.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
304.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
299.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
296.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
296.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
295.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
294.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
294.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
292.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
292.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
289.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
288.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
285.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
277.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
277.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
275.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
273.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
273.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
273.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
273.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
271.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
268.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
268.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
267.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
265.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
265.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
264.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
263.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
263.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
260.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
258.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
256.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
256.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
256.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
256.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
255.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
253.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
251.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
251.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
251.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
248.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
248.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
247.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
247.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
246.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
244.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
243.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
243.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
240.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
240.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
238.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
238.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
235.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
234.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
233.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
233.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
232.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
232.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
232.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
230.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
230.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
229.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
229.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
227.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
226.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
224.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
224.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
220.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
220.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
220.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
219.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
218.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
218.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
218.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
217.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
214.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
213.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
212.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
212.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
212.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
211.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
210.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
209.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
208.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
206.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
206.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
205.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
202.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
201.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
198.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
198.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
195.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
194.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
194.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
194.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
194.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
192.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
191.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
190.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
189.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
187.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
186.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
184.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
184.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
183.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
182.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
182.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
181.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
181.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
180.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
180.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
177.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
175.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
175.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
175.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
174.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
174.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
172.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
169.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
168.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
167.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
166.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
165.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
165.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
164.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
159.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
157.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
157.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
156.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
155.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
154.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
150.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
150.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
149.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
147.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
146.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
146.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
144.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
144.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
142.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
139.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
138.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
137.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
135.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
133.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
132.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
129.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
127.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
127.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
125.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
119.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
115.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
114.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
111.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
103.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
94.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
88.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
79.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
