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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.
UQCRB 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
286.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
729.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
615.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
600.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
580.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
561.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
552.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
530.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
495.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
485.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
484.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
479.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
474.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
466.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
455.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
454.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
451.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
441.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
430.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
422.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
419.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
413.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
413.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
408.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
401.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
400.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
395.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
394.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
394.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
391.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
389.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
388.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
388.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
386.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
383.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
382.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
375.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
371.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
368.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
368.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
368.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
367.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
365.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
365.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
364.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
359.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
358.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
357.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
357.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
354.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
352.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
352.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
351.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
350.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
349.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
347.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
347.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
347.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
347.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
343.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
342.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
341.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
339.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
339.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
338.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
337.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
337.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
333.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
331.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
330.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
329.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
328.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
326.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
324.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
323.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
323.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
323.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
321.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
319.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
318.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
317.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
317.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
315.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
314.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
311.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
311.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
309.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
308.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
304.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
303.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
303.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
302.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
298.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
298.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
295.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
295.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
294.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
291.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
291.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
290.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
289.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
289.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
289.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
289.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
287.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
287.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
286.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
286.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
286.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
282.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
279.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
279.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
279.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
278.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
278.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
278.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
277.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
277.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
275.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
275.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
275.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
273.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
273.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
272.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
271.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
271.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
266.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
266.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
264.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
264.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
264.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
263.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
263.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
263.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
263.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
262.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
262.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
260.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
259.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
259.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
258.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
258.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
257.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
257.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
257.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
256.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
256.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
255.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
254.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
254.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
253.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
252.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
249.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
248.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
248.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
248.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
247.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
247.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
247.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
247.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
246.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
245.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
244.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
241.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
241.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
241.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
241.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
240.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
240.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
238.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
236.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
236.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
236.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
235.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
233.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
233.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
232.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
231.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
230.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
229.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
228.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
228.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
227.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
226.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
226.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
225.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
225.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
225.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
225.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
224.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
223.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
223.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
223.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
221.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
221.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
220.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
220.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
219.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
217.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
215.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
213.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
212.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
212.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
212.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
212.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
210.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
209.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
208.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
208.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
208.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
207.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
205.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
205.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
204.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
204.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
199.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
199.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
198.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
198.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
197.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
195.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
194.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
194.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
191.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
188.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
188.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
187.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
187.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
185.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
185.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
184.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
181.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
181.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
180.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
179.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
177.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
173.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
170.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
169.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
167.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
166.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
163.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
163.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
163.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
162.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
162.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
154.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
152.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
152.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
152.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
143.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
137.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
136.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
136.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 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.
UQCRB 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
54.5
Number of samples
486
Samples
Sample
Description
TPM
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
148.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
139.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
128.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
120.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
114.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
113.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
110.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
110.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
110.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
109.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
108.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
107.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
105.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
104.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
103.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
103.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
101.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
96.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
96.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
96.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
95.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
94.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
92.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
92.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
92.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
91.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
89.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
86.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
86.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
86.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
85.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
84.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
83.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
83.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
83.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
82.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
82.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
81.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
81.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
81.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
81.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
81.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
80.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
79.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
79.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
79.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
79.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
78.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
78.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
77.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
76.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
76.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
76.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
76.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
75.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
75.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
74.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
74.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
74.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
73.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
73.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
73.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
73.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
73.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
72.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
72.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
72.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
72.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
72.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
71.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
71.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
71.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
71.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
70.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
70.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
70.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
69.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
69.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
69.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
68.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
68.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
68.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
68.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
68.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
67.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
67.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
67.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
67.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
67.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
67.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
67.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
66.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
66.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
66.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
66.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
65.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
65.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
65.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
65.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
64.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
64.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
64.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
64.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
64.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
63.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
63.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
63.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
63.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
62.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
62.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
62.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
62.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
62.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
61.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
61.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
61.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
61.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
60.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
60.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
60.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
60.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
60.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
60.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
59.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
59.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
59.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
59.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
59.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
58.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
58.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
58.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
58.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
58.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
58.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
57.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
57.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
57.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
57.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
56.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
56.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
56.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
56.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
56.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
56.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
56.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
56.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
55.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
55.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
55.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
55.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
55.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
55.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
55.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
55.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
54.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
54.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
54.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
54.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
54.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
54.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
53.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
53.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
53.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
53.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
53.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
53.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
53.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
52.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
52.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
52.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
52.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
51.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
51.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
50.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
50.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
50.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
50.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
50.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
50.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
50.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
49.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
49.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
49.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
49.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
48.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
48.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
48.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
48.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
48.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
47.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
47.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
47.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
47.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
47.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
46.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
46.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
46.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
46.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
46.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
46.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
45.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
45.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
45.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
45.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
45.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
45.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
45.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
44.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
44.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
44.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
43.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
43.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
43.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
43.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
43.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
42.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
42.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
42.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
41.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
41.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
41.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
40.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
40.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
39.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
39.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
39.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
39.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
39.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
39.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
38.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
38.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
38.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
38.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
37.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
36.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
36.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
35.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
35.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
34.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
33.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
33.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
33.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
32.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
30.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
29.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
29.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
27.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
27.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
26.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
25.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
25.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
25.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
24.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
24.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
24.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
23.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
22.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
21.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
11.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UQCRB 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
293.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
782.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
568.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
537.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
529.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
502.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
468.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
468.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
431.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
428.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
425.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
413.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
409.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
400.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
398.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
395.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
379.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
377.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
357.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
354.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
350.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
332.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
328.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
324.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
320.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
311.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
307.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
304.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
302.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
299.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
298.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
295.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
295.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
292.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
287.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
286.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
284.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
282.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
282.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
282.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
279.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
276.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
276.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
274.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
269.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
266.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
266.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
265.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
265.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
258.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
257.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
256.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
254.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
254.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
254.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
253.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
252.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
252.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
252.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
250.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
244.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
239.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
238.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
238.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
237.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
236.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
229.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
221.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
213.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
212.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
210.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
208.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
208.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
207.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
204.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
202.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
198.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
197.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
197.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
196.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
192.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
192.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
185.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
185.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
170.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
169.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
168.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
160.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
UQCRB 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
50.2
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
183.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
132.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
103.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
97.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
95.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
90.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
88.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
85.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
83.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
80.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
80.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
79.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
79.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
79.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
78.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
77.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
76.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
75.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
73.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
72.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
72.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
71.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
70.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
70.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
68.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
67.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
67.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
65.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
65.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
64.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
64.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
63.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
62.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
62.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
62.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
61.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
60.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
60.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
60.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
60.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
60.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
59.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
59.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
58.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
57.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
57.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
57.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
57.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
57.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
57.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
56.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
55.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
54.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
54.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
54.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
54.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
53.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
53.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
53.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
53.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
52.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
52.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
52.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
51.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
51.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
51.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
50.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
50.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
50.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
50.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
49.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
48.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
48.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
47.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
47.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
47.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
47.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
47.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
44.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
44.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
44.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
43.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
43.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
42.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
42.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
40.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
40.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
39.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
39.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
39.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
38.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
37.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
37.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
37.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
37.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
36.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
36.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
33.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
33.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
33.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
33.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
32.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
32.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
32.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
31.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
26.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
24.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
24.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
24.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
23.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
15.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
