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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FXYD5 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
181.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
536.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
470.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
455.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
421.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
412.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
399.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
382.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
379.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
373.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
362.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
358.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
357.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
347.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
341.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
339.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
339.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
324.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
317.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
315.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
314.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
313.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
312.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
310.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
306.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
302.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
299.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
294.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
293.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
292.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
292.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
287.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
286.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
286.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
283.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
280.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
278.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
275.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
273.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
272.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
268.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
268.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
268.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
264.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
263.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
261.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
260.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
259.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
258.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
257.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
256.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
255.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
255.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
254.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
248.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
247.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
246.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
245.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
242.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
242.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
241.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
241.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
241.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
239.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
239.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
238.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
238.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
237.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
236.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
236.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
236.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
235.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
235.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
235.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
230.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
229.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
229.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
229.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
222.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
222.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
221.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
221.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
218.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
216.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
216.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
214.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
213.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
213.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
212.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
211.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
211.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
210.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
210.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
208.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
206.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
202.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
200.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
199.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
199.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
199.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
199.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
198.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
197.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
194.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
193.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
193.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
191.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
189.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
188.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
188.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
187.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
185.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
184.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
182.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
181.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
181.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
180.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
179.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
179.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
178.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
176.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
174.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
172.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
172.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
172.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
171.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
170.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
170.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
170.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
169.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
169.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
168.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
167.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
167.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
167.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
166.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
165.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
165.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
162.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
161.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
160.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
160.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
160.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
159.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
159.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
158.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
158.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
157.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
156.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
153.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
150.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
150.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
149.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
149.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
147.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
146.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
145.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
144.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
143.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
143.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
140.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
139.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
139.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
138.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
138.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
137.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
137.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
137.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
135.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
135.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
135.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
132.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
132.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
131.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
130.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
130.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
130.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
126.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
125.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
125.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
123.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
122.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
122.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
122.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
121.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
121.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
121.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
121.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
121.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
119.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
119.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
118.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
118.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
117.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
117.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
115.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
115.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
110.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
110.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
107.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
104.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
102.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
101.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
100.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
100.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
99.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
98.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
97.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
97.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
96.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
96.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
96.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
95.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
93.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
92.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
91.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
91.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
90.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
90.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
86.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
83.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
82.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
82.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
81.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
80.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
75.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
75.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
74.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
71.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
71.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
65.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
64.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
64.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
61.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
56.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
54.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
52.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
42.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
37.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
37.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
33.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
31.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
30.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
24.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
24.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
FXYD5 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
151.0
Number of samples
486
Samples
Sample
Description
TPM
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
654.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
548.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
484.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
425.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
355.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
349.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
333.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
315.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
315.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
311.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
311.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
297.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
291.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
290.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
290.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
286.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
285.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
285.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
281.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
275.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
274.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
272.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
268.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
267.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
264.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
262.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
260.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
260.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
260.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
256.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
256.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
255.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
254.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
253.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
248.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
247.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
245.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
244.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
242.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
242.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
242.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
241.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
241.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
240.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
239.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
238.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
238.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
238.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
235.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
234.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
233.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
231.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
231.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
231.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
231.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
230.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
229.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
229.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
229.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
228.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
224.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
224.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
224.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
222.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
222.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
221.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
221.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
221.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
221.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
221.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
220.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
220.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
219.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
219.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
218.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
217.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
217.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
216.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
216.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
216.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
216.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
215.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
214.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
213.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
212.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
212.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
211.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
210.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
210.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
210.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
209.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
209.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
209.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
208.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
208.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
208.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
208.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
207.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
205.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
204.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
203.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
203.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
203.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
202.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
200.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
200.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
199.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
198.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
197.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
197.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
196.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
196.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
195.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
194.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
194.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
192.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
192.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
191.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
190.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
189.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
189.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
188.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
188.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
188.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
188.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
188.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
187.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
187.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
187.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
186.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
186.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
185.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
185.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
185.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
183.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
182.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
180.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
180.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
180.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
179.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
178.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
177.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
177.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
177.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
177.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
177.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
176.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
176.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
175.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
175.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
175.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
175.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
174.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
174.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
174.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
172.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
171.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
170.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
169.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
169.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
169.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
168.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
168.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
168.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
168.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
168.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
167.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
167.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
167.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
166.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
166.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
166.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
166.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
165.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
165.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
164.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
164.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
163.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
163.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
163.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
163.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
163.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
162.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
161.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
161.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
160.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
160.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
160.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
159.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
158.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
158.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
158.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
158.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
158.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
157.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
157.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
157.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
157.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
156.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
156.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
156.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
155.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
155.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
154.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
154.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
154.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
154.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
154.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
153.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
153.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
153.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
153.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
153.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
153.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
152.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
152.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
152.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
151.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
151.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
151.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
150.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
150.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
149.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
149.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
147.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
146.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
146.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
145.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
145.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
144.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
144.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
144.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
144.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
144.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
143.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
143.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
142.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
142.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
142.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
142.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
142.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
142.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
142.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
142.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
141.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
141.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
141.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
141.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
140.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
140.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
140.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
139.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
139.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
138.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
138.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
138.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
138.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
138.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
137.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
137.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
137.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
137.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
137.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
136.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
136.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
134.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
134.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
134.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
133.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
133.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
133.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
133.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
132.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
132.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
132.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
132.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
132.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
132.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
131.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
131.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
131.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
131.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
130.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
130.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
130.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
130.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
130.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
129.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
129.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
129.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
129.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
128.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
128.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
128.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
127.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
127.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
126.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
126.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
126.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
126.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
126.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
125.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
125.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
125.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
125.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
125.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
124.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
124.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
124.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
124.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
124.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
123.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
123.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
122.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
122.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
122.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
121.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
120.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
119.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
119.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
119.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
119.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
119.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
118.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
118.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
118.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
118.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
118.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
117.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
116.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
115.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
115.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
115.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
115.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
115.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
115.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
115.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
115.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
114.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
114.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
114.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
113.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
113.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
112.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
112.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
112.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
112.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
112.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
112.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
112.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
110.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
110.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
109.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
109.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
108.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
108.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
108.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
107.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
106.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
106.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
106.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
105.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
104.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
104.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
103.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
103.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
102.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
102.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
101.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
100.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
99.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
99.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
98.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
98.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
96.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
96.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
96.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
96.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
95.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
94.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
94.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
93.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
93.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
92.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
91.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
91.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
91.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
91.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
89.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
89.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
89.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
89.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
89.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
88.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
88.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
87.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
87.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
86.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
86.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
86.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
85.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
85.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
84.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
84.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
84.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
84.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
83.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
83.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
83.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
82.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
81.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
81.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
80.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
80.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
80.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
78.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
78.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
78.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
77.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
76.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
76.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
76.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
75.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
75.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
74.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
74.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
73.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
73.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
72.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
72.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
71.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
71.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
71.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
70.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
70.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
70.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
70.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
70.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
69.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
69.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
68.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
66.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
66.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
65.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
64.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
63.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
62.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
61.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
61.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
60.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
56.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
56.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
54.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
52.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
51.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
51.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
50.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
48.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
45.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
39.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
36.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
33.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
33.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
27.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
19.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
10.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FXYD5 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
176.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
449.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
432.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
377.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
371.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
354.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
326.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
301.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
300.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
270.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
262.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
261.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
258.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
257.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
252.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
247.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
244.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
244.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
242.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
238.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
229.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
221.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
216.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
214.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
208.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
206.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
201.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
200.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
196.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
192.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
191.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
190.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
186.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
183.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
183.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
182.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
182.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
181.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
181.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
180.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
172.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
171.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
166.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
166.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
165.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
163.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
163.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
158.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
155.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
153.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
151.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
150.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
146.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
143.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
138.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
138.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
137.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
135.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
131.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
130.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
128.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
128.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
127.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
126.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
125.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
124.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
124.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
119.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
115.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
114.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
114.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
113.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
112.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
108.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
108.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
104.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
99.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
96.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
96.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
89.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
88.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
75.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
72.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
69.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
68.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
58.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
49.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
47.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 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.
FXYD5 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
130.9
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
382.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
357.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
344.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
302.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
292.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
278.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
262.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
242.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
239.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
230.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
228.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
224.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
218.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
216.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
216.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
208.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
207.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
200.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
198.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
195.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
195.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
190.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
189.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
187.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
187.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
185.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
185.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
184.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
183.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
181.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
180.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
180.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
174.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
173.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
173.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
172.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
172.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
172.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
170.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
170.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
169.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
168.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
168.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
167.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
165.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
164.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
164.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
164.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
163.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
163.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
163.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
163.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
161.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
161.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
160.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
159.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
159.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
159.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
159.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
155.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
151.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
148.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
148.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
148.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
147.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
146.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
145.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
144.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
144.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
142.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
142.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
142.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
142.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
142.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
142.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
140.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
140.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
139.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
139.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
137.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
137.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
137.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
136.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
133.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
133.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
131.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
131.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
129.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
128.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
128.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
128.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
128.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
126.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
124.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
124.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
123.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
123.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
123.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
123.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
122.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
122.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
122.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
121.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
121.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
120.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
120.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
120.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
120.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
119.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
118.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
118.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
118.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
118.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
118.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
117.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
116.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
113.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
113.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
112.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
112.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
112.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
112.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
112.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
111.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
111.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
110.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
110.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
109.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
109.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
109.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
108.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
108.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
107.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
107.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
106.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
106.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
106.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
106.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
105.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
105.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
104.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
103.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
103.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
102.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
102.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
100.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
100.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
99.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
99.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
98.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
98.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
97.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
96.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
96.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
95.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
94.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
94.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
94.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
94.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
92.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
92.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
91.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
91.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
89.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
89.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
87.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
86.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
86.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
84.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
83.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
83.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
83.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
82.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
82.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
79.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
78.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
77.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
77.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
76.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
76.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
74.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
74.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
74.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
74.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
73.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
73.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
71.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
70.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
66.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
63.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
60.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
60.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
58.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
56.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
54.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
52.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
51.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
51.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
45.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
