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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.
SYNGR2 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
283.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
958.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
611.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
565.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
559.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
540.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
533.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
531.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
507.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
507.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
495.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
483.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
482.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
471.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
465.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
461.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
458.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
457.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
456.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
456.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
454.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
451.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
448.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
443.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
443.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
434.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
434.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
428.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
423.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
422.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
417.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
414.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
412.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
410.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
409.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
409.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
404.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
404.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
399.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
394.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
392.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
388.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
388.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
386.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
386.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
384.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
380.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
380.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
377.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
374.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
371.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
371.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
368.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
368.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
367.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
365.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
358.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
356.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
355.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
349.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
349.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
346.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
344.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
342.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
341.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
338.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
338.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
337.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
335.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
335.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
335.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
334.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
333.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
333.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
333.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
333.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
331.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
329.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
326.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
326.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
325.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
323.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
320.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
319.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
318.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
318.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
316.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
314.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
313.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
312.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
312.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
309.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
304.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
304.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
302.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
301.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
300.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
299.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
299.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
299.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
295.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
294.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
293.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
292.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
291.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
289.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
287.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
286.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
285.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
283.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
282.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
282.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
282.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
281.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
280.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
280.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
276.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
275.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
275.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
274.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
274.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
272.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
271.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
271.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
269.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
269.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
268.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
267.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
266.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
266.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
263.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
263.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
262.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
261.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
261.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
261.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
260.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
259.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
257.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
256.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
256.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
256.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
255.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
253.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
253.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
250.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
250.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
248.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
247.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
246.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
246.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
246.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
245.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
245.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
242.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
240.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
237.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
236.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
236.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
236.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
235.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
230.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
229.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
229.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
229.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
228.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
227.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
227.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
226.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
226.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
225.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
224.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
224.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
223.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
221.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
219.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
218.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
217.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
216.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
215.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
213.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
211.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
209.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
209.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
209.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
208.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
206.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
206.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
206.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
205.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
203.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
202.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
202.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
202.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
201.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
200.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
199.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
199.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
198.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
196.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
196.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
196.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
196.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
195.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
194.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
194.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
193.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
192.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
188.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
187.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
184.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
184.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
184.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
183.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
180.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
180.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
179.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
178.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
177.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
177.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
176.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
176.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
173.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
171.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
170.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
169.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
168.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
167.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
166.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
163.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
162.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
161.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
161.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
159.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
159.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
156.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
155.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
148.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
147.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
142.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
131.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
129.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
128.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
127.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
126.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
122.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
120.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
120.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
118.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
117.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
116.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
110.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
95.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
94.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
SYNGR2 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
203.8
Number of samples
486
Samples
Sample
Description
TPM
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
516.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
459.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
454.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
451.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
445.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
418.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
415.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
402.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
390.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
381.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
372.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
369.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
361.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
361.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
360.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
358.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
353.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
353.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
350.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
346.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
346.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
345.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
345.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
344.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
342.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
340.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
339.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
338.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
338.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
334.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
333.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
332.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
326.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
324.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
322.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
321.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
321.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
320.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
316.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
314.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
314.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
309.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
309.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
307.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
307.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
303.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
297.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
297.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
296.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
296.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
294.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
293.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
290.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
286.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
286.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
285.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
285.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
284.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
284.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
282.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
282.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
281.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
281.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
281.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
280.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
279.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
278.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
278.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
277.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
274.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
271.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
271.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
270.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
269.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
268.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
268.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
268.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
268.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
268.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
267.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
267.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
265.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
264.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
264.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
263.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
263.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
262.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
262.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
261.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
259.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
259.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
258.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
257.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
257.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
256.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
255.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
254.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
254.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
254.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
253.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
253.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
252.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
252.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
252.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
251.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
250.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
250.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
248.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
248.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
247.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
247.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
247.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
246.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
246.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
246.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
244.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
244.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
244.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
243.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
243.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
242.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
242.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
241.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
240.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
240.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
240.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
239.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
238.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
238.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
238.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
238.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
237.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
237.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
236.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
235.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
235.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
235.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
234.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
234.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
234.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
233.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
232.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
232.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
231.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
231.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
230.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
230.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
230.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
229.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
229.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
229.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
229.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
228.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
228.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
228.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
227.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
226.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
226.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
225.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
225.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
225.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
223.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
223.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
223.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
223.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
222.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
222.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
222.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
221.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
221.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
220.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
220.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
219.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
219.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
219.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
219.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
218.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
218.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
218.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
218.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
217.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
217.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
216.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
216.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
216.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
215.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
215.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
214.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
214.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
213.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
213.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
213.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
213.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
213.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
213.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
213.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
212.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
212.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
212.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
211.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
211.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
210.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
208.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
207.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
207.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
206.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
206.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
206.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
205.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
205.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
204.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
204.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
204.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
203.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
203.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
203.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
203.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
203.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
201.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
201.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
201.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
201.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
201.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
200.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
199.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
199.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
199.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
199.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
198.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
198.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
198.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
198.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
198.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
198.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
198.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
197.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
197.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
196.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
196.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
196.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
196.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
195.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
195.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
195.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
195.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
195.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
194.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
194.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
194.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
194.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
193.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
191.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
191.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
191.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
191.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
191.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
190.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
190.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
190.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
189.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
189.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
189.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
189.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
188.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
188.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
188.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
188.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
187.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
187.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
186.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
185.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
184.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
184.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
184.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
184.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
183.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
183.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
183.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
182.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
181.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
181.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
181.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
181.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
180.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
180.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
180.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
180.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
180.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
179.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
178.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
176.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
176.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
176.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
176.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
176.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
175.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
175.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
175.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
174.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
174.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
173.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
172.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
172.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
171.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
171.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
171.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
171.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
171.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
170.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
170.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
170.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
170.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
169.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
168.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
168.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
168.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
168.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
167.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
167.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
167.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
167.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
167.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
166.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
166.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
166.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
166.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
165.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
164.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
164.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
164.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
164.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
164.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
163.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
163.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
162.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
162.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
162.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
162.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
162.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
161.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
161.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
160.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
160.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
160.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
160.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
160.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
159.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
159.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
159.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
158.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
157.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
157.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
157.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
156.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
156.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
156.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
154.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
154.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
154.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
154.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
154.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
154.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
154.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
154.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
152.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
152.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
152.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
152.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
152.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
152.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
151.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
151.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
151.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
150.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
150.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
150.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
149.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
149.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
149.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
148.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
147.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
147.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
146.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
146.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
146.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
146.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
146.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
145.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
145.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
144.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
143.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
143.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
142.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
141.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
141.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
140.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
140.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
140.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
139.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
139.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
139.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
138.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
138.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
138.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
137.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
136.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
136.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
136.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
135.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
135.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
135.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
134.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
134.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
134.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
134.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
134.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
134.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
134.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
134.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
133.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
133.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
133.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
133.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
133.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
132.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
132.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
132.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
131.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
131.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
131.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
131.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
130.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
130.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
129.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
129.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
126.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
126.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
125.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
125.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
125.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
124.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
124.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
123.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
123.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
123.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
120.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
120.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
120.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
118.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
118.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
117.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
116.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
115.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
115.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
114.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
114.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
113.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
111.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
110.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
110.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
109.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
108.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
105.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
104.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
104.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
103.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
102.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
102.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
102.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
101.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
101.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
98.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
94.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
93.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
93.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
93.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
86.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
85.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
83.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
82.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
65.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
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.
SYNGR2 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
256.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
592.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
492.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
491.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
491.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
477.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
420.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
411.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
410.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
399.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
392.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
367.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
361.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
360.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
348.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
345.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
344.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
339.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
339.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
337.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
330.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
325.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
323.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
307.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
296.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
295.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
294.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
293.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
287.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
286.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
281.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
279.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
272.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
269.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
268.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
267.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
263.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
260.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
258.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
256.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
256.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
240.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
239.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
239.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
238.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
237.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
233.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
229.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
228.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
224.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
223.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
212.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
211.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
209.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
208.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
204.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
204.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
202.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
200.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
200.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
198.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
198.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
197.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
194.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
191.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
190.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
188.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
185.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
181.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
178.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
174.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
169.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
168.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
166.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
166.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
165.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
162.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
158.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
154.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
153.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
150.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
142.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
138.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
137.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
137.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
128.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
126.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
102.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 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.
SYNGR2 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
188.7
Number of samples
207
Samples
Sample
Description
TPM
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
1521.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
454.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
414.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
362.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
351.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
338.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
335.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
333.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
332.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
329.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
317.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
312.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
312.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
306.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
305.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
305.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
296.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
295.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
287.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
283.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
282.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
278.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
277.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
273.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
273.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
273.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
270.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
270.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
269.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
263.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
263.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
262.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
262.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
261.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
261.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
260.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
259.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
254.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
251.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
250.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
244.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
239.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
238.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
237.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
232.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
231.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
229.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
228.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
226.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
225.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
225.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
224.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
224.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
223.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
222.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
219.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
219.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
218.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
218.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
215.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
214.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
213.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
211.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
211.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
211.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
210.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
210.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
210.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
206.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
206.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
204.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
204.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
202.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
202.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
202.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
199.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
199.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
197.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
197.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
196.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
196.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
195.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
193.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
193.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
192.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
191.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
190.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
189.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
186.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
185.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
185.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
182.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
180.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
179.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
177.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
177.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
176.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
176.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
174.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
174.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
173.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
173.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
172.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
171.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
168.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
168.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
166.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
166.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
165.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
165.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
164.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
164.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
163.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
162.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
160.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
160.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
160.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
160.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
159.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
157.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
157.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
156.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
156.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
155.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
154.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
153.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
153.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
152.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
151.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
150.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
149.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
149.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
149.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
148.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
146.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
143.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
142.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
141.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
141.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
140.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
140.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
140.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
135.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
135.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
134.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
134.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
134.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
132.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
132.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
130.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
129.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
128.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
127.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
126.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
126.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
126.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
125.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
124.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
124.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
123.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
122.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
120.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
120.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
120.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
119.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
119.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
117.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
117.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
116.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
116.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
114.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
114.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
111.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
110.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
109.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
108.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
108.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
107.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
107.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
107.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
107.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
103.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
102.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
102.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
101.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
100.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
99.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
98.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
95.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
93.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
93.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
93.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
93.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
91.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
91.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
90.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
90.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
90.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
88.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
87.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
86.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
80.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
76.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
74.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
70.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
64.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
30.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
1.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.9
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.