We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
YWHAB 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
219.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
583.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
576.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
551.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
534.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
517.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
505.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
466.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
430.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
427.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
425.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
421.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
417.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
417.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
411.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
403.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
393.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
383.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
380.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
371.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
365.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
362.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
358.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
357.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
350.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
350.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
349.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
345.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
343.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
340.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
328.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
327.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
325.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
324.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
324.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
322.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
321.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
319.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
318.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
315.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
314.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
312.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
312.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
310.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
307.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
305.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
305.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
303.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
302.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
298.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
298.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
298.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
290.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
289.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
286.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
285.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
284.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
284.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
282.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
281.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
281.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
279.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
278.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
274.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
273.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
271.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
271.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
270.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
268.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
265.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
265.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
259.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
258.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
257.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
254.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
253.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
253.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
251.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
251.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
250.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
249.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
249.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
248.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
248.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
247.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
247.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
244.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
241.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
239.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
239.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
233.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
232.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
229.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
228.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
228.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
227.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
226.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
224.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
223.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
223.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
221.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
220.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
220.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
215.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
215.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
215.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
213.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
212.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
212.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
211.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
211.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
208.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
208.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
208.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
206.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
205.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
205.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
200.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
199.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
198.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
198.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
197.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
197.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
197.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
196.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
196.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
196.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
195.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
195.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
195.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
193.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
192.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
192.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
192.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
191.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
190.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
189.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
187.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
185.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
184.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
184.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
183.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
183.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
183.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
181.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
180.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
180.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
179.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
179.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
178.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
178.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
177.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
177.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
177.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
171.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
171.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
171.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
170.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
169.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
167.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
164.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
163.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
163.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
163.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
163.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
161.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
159.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
159.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
159.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
159.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
159.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
157.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
157.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
157.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
156.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
155.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
155.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
154.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
153.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
153.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
153.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
152.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
152.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
152.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
151.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
151.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
151.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
150.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
150.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
150.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
150.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
149.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
148.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
148.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
147.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
147.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
147.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
146.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
144.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
144.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
144.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
144.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
143.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
143.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
143.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
142.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
140.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
138.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
138.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
137.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
136.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
136.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
135.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
135.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
133.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
133.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
130.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
130.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
128.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
128.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
127.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
125.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
124.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
123.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
120.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
120.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
118.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
117.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
116.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
116.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
115.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
113.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
113.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
113.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
113.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
112.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
112.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
112.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
111.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
111.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
110.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
108.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
106.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
105.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
105.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
104.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
101.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
99.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
94.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
93.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
89.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
86.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
84.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
83.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
YWHAB 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
216.8
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
577.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
503.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
502.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
482.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
482.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
468.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
466.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
462.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
454.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
454.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
432.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
419.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
412.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
409.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
401.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
401.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
400.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
389.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
381.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
381.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
368.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
365.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
363.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
361.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
357.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
356.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
353.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
352.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
350.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
350.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
349.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
348.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
346.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
344.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
344.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
343.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
340.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
340.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
340.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
340.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
337.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
336.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
333.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
333.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
331.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
328.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
327.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
325.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
325.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
323.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
323.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
321.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
320.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
319.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
316.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
312.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
312.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
311.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
310.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
310.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
308.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
305.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
304.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
304.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
303.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
302.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
301.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
301.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
301.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
301.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
300.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
300.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
300.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
300.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
299.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
299.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
299.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
297.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
297.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
297.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
296.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
295.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
295.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
292.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
292.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
291.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
291.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
289.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
289.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
289.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
288.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
287.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
286.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
284.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
284.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
283.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
280.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
280.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
279.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
277.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
277.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
277.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
277.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
275.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
275.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
275.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
275.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
275.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
274.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
272.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
272.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
272.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
272.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
271.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
270.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
269.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
268.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
268.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
267.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
264.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
264.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
264.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
264.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
263.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
262.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
260.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
259.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
258.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
258.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
257.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
257.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
256.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
254.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
253.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
252.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
250.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
249.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
249.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
248.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
247.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
247.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
245.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
245.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
244.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
244.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
243.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
243.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
242.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
242.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
239.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
239.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
239.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
238.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
237.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
236.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
236.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
235.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
233.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
231.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
231.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
230.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
230.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
230.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
229.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
228.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
228.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
228.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
227.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
226.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
225.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
225.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
224.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
224.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
223.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
223.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
223.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
222.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
222.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
221.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
221.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
220.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
220.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
220.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
220.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
219.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
218.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
218.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
217.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
217.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
217.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
217.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
216.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
216.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
216.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
215.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
215.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
214.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
214.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
213.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
212.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
212.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
212.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
212.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
211.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
209.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
209.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
208.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
208.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
208.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
207.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
207.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
207.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
206.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
206.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
205.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
205.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
205.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
204.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
204.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
204.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
204.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
204.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
203.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
203.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
203.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
202.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
201.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
201.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
201.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
201.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
201.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
200.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
200.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
200.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
198.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
198.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
198.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
198.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
196.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
196.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
196.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
195.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
195.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
195.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
194.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
194.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
194.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
194.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
193.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
193.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
192.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
191.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
191.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
190.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
189.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
189.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
189.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
189.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
188.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
188.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
188.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
188.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
188.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
188.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
188.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
187.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
187.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
187.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
187.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
187.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
186.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
186.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
186.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
186.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
186.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
185.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
184.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
184.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
184.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
183.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
183.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
183.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
183.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
183.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
183.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
183.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
183.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
182.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
182.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
182.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
181.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
181.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
181.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
181.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
180.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
180.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
179.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
179.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
179.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
179.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
178.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
178.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
178.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
178.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
177.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
177.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
177.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
177.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
177.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
177.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
176.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
175.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
175.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
175.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
174.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
174.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
174.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
174.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
173.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
173.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
172.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
172.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
172.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
171.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
171.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
170.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
170.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
169.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
169.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
169.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
169.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
168.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
168.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
168.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
168.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
167.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
166.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
166.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
166.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
166.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
165.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
165.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
165.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
165.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
165.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
164.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
163.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
163.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
163.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
163.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
163.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
162.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
161.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
161.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
161.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
161.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
160.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
160.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
160.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
160.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
159.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
158.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
158.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
158.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
158.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
158.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
158.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
157.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
157.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
157.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
157.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
157.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
157.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
156.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
156.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
156.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
155.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
155.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
155.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
155.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
155.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
155.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
154.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
154.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
154.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
154.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
154.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
153.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
153.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
152.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
152.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
152.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
152.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
152.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
152.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
151.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
150.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
150.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
150.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
150.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
150.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
149.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
149.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
149.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
149.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
149.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
149.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
148.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
148.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
148.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
147.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
147.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
146.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
146.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
145.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
145.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
145.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
145.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
145.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
145.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
145.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
144.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
144.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
143.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
142.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
142.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
142.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
141.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
141.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
141.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
141.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
140.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
140.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
140.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
139.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
139.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
139.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
137.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
136.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
136.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
136.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
136.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
135.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
135.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
135.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
135.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
135.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
134.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
134.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
133.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
133.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
132.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
131.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
131.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
130.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
130.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
130.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
129.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
129.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
129.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
128.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
125.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
125.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
125.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
125.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
124.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
124.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
124.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
123.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
119.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
118.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
117.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
117.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
117.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
117.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
114.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
113.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
110.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
109.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
109.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
109.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
98.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
95.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
88.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
9.9
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.
YWHAB 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
250.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
589.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
586.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
565.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
514.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
408.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
404.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
399.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
395.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
394.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
392.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
374.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
361.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
353.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
344.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
328.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
324.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
323.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
314.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
308.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
307.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
305.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
305.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
302.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
300.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
297.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
292.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
291.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
284.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
278.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
275.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
272.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
269.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
265.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
256.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
255.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
253.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
252.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
248.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
246.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
244.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
236.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
233.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
232.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
232.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
232.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
230.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
229.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
222.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
222.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
220.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
218.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
216.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
216.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
214.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
212.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
211.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
209.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
205.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
201.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
199.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
194.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
192.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
188.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
187.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
186.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
185.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
178.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
176.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
175.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
171.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
170.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
167.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
166.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
153.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
152.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
152.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
151.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
137.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
128.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
127.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
124.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
121.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
120.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
113.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
112.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
109.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
92.8
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.
YWHAB 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
225.9
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
521.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
490.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
488.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
480.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
410.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
402.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
390.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
386.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
374.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
372.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
367.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
365.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
364.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
363.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
361.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
357.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
346.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
342.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
325.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
323.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
317.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
313.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
308.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
307.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
307.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
300.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
300.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
298.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
297.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
297.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
297.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
294.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
292.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
290.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
290.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
287.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
286.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
286.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
285.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
284.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
282.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
280.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
278.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
278.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
278.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
275.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
274.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
267.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
265.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
264.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
263.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
261.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
261.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
260.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
260.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
260.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
258.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
257.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
255.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
254.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
253.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
253.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
253.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
253.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
253.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
251.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
250.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
250.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
249.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
248.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
247.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
246.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
246.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
245.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
243.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
242.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
242.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
241.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
240.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
240.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
240.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
240.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
240.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
239.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
238.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
238.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
238.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
238.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
236.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
235.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
234.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
233.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
233.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
232.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
231.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
230.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
229.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
228.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
226.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
225.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
224.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
223.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
222.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
222.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
222.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
222.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
221.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
220.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
220.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
219.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
217.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
217.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
215.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
215.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
214.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
214.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
212.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
212.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
208.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
208.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
206.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
204.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
200.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
198.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
193.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
190.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
190.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
190.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
190.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
189.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
188.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
188.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
188.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
187.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
187.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
186.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
186.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
186.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
185.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
184.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
184.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
182.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
181.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
180.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
179.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
178.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
178.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
178.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
178.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
178.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
177.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
176.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
176.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
173.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
171.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
171.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
169.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
164.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
164.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
162.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
162.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
158.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
157.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
157.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
157.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
156.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
156.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
155.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
155.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
154.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
153.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
153.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
153.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
152.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
151.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
151.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
149.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
146.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
145.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
145.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
144.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
143.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
142.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
141.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
139.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
138.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
133.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
132.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
131.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
131.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
130.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
130.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
129.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
126.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
126.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
126.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
125.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
124.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
121.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
116.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
109.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
104.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
102.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
98.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
92.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
88.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
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.