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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.
GDI2 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
181.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
431.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
361.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
349.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
320.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
319.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
286.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
284.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
276.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
255.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
248.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
246.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
246.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
244.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
242.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
239.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
239.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
237.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
236.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
235.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
234.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
233.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
230.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
230.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
229.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
228.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
227.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
227.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
226.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
226.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
225.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
224.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
224.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
224.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
224.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
224.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
223.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
222.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
222.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
221.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
220.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
218.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
217.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
217.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
216.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
215.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
214.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
214.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
213.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
212.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
212.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
212.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
211.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
211.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
211.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
210.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
210.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
210.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
210.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
210.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
209.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
209.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
209.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
209.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
208.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
208.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
207.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
207.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
207.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
206.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
205.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
205.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
205.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
204.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
204.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
203.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
203.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
202.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
202.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
199.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
199.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
198.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
198.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
198.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
198.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
198.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
197.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
197.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
196.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
196.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
195.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
194.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
192.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
192.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
192.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
192.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
192.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
191.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
191.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
190.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
189.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
189.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
188.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
187.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
187.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
187.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
186.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
186.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
186.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
186.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
185.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
184.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
184.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
184.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
183.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
183.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
183.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
183.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
182.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
182.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
182.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
182.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
181.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
181.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
180.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
179.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
179.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
178.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
178.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
178.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
176.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
176.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
176.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
176.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
176.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
176.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
175.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
175.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
174.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
174.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
174.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
173.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
173.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
171.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
170.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
169.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
169.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
168.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
168.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
168.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
167.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
167.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
167.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
167.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
167.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
167.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
167.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
167.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
166.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
166.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
166.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
166.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
166.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
166.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
166.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
165.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
165.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
165.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
164.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
164.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
164.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
163.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
161.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
160.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
160.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
160.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
159.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
157.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
157.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
156.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
156.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
156.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
155.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
154.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
154.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
154.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
154.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
153.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
153.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
153.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
151.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
151.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
151.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
150.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
150.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
149.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
149.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
148.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
147.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
147.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
147.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
147.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
146.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
146.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
146.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
146.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
146.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
145.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
145.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
145.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
144.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
143.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
143.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
143.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
142.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
141.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
141.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
141.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
139.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
139.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
138.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
138.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
138.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
138.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
137.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
136.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
135.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
135.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
135.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
134.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
133.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
132.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
132.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
130.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
129.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
128.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
127.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
127.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
126.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
121.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
121.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
120.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
120.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
112.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
112.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
110.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
109.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
109.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
106.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
104.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
100.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
92.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
83.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
73.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
GDI2 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
238.6
Number of samples
486
Samples
Sample
Description
TPM
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
401.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
388.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
387.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
377.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
372.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
371.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
365.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
364.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
360.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
352.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
343.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
340.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
339.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
337.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
335.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
333.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
330.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
326.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
326.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
325.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
323.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
322.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
321.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
319.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
315.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
314.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
311.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
310.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
307.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
307.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
305.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
305.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
304.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
304.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
304.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
304.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
303.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
302.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
301.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
301.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
301.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
299.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
299.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
299.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
299.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
299.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
299.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
298.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
297.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
297.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
297.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
296.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
296.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
294.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
293.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
291.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
291.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
290.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
290.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
290.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
290.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
290.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
289.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
289.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
288.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
288.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
288.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
287.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
287.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
287.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
287.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
287.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
287.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
286.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
286.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
286.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
285.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
285.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
284.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
284.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
284.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
284.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
283.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
283.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
283.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
282.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
282.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
282.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
281.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
280.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
280.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
280.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
280.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
280.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
279.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
277.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
275.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
275.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
275.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
275.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
274.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
274.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
274.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
274.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
274.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
274.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
273.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
273.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
273.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
273.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
273.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
273.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
272.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
272.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
271.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
271.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
270.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
269.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
269.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
269.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
268.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
268.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
267.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
267.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
267.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
267.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
266.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
266.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
266.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
266.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
266.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
266.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
265.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
265.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
264.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
264.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
264.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
263.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
263.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
263.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
262.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
262.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
262.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
262.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
262.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
261.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
261.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
261.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
260.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
260.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
260.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
260.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
260.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
260.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
260.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
260.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
259.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
259.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
259.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
258.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
258.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
258.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
258.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
257.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
257.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
257.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
256.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
256.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
256.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
256.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
255.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
255.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
255.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
255.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
255.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
255.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
254.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
254.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
254.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
254.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
253.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
252.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
252.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
252.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
252.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
252.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
252.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
251.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
251.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
250.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
250.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
250.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
250.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
250.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
250.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
249.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
249.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
249.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
249.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
249.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
248.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
248.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
248.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
248.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
247.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
247.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
247.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
246.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
246.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
246.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
245.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
245.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
245.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
245.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
245.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
245.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
245.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
244.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
244.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
244.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
244.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
243.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
243.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
243.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
243.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
243.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
242.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
242.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
242.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
242.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
241.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
241.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
241.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
240.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
240.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
240.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
240.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
240.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
239.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
239.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
239.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
239.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
239.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
239.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
239.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
239.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
239.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
238.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
238.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
238.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
237.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
237.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
236.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
236.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
236.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
236.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
236.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
235.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
235.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
235.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
235.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
234.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
234.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
234.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
234.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
234.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
233.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
233.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
233.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
233.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
233.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
232.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
232.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
232.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
232.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
232.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
232.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
231.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
231.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
230.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
229.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
228.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
228.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
228.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
228.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
228.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
228.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
227.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
227.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
227.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
227.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
226.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
225.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
225.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
225.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
224.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
224.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
224.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
224.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
223.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
223.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
223.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
223.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
222.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
222.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
222.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
222.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
221.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
221.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
221.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
221.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
220.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
220.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
220.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
219.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
219.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
219.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
218.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
218.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
218.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
218.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
217.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
217.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
217.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
217.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
217.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
216.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
216.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
214.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
214.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
214.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
214.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
214.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
214.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
213.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
213.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
213.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
213.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
213.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
212.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
212.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
212.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
212.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
212.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
212.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
212.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
211.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
211.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
211.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
210.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
209.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
209.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
209.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
209.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
209.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
209.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
208.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
208.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
207.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
207.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
207.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
207.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
206.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
206.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
205.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
205.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
205.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
205.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
205.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
205.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
204.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
204.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
204.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
204.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
204.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
204.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
204.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
203.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
203.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
203.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
202.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
202.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
202.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
202.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
201.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
201.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
200.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
200.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
200.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
200.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
199.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
199.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
198.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
198.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
198.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
197.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
197.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
197.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
197.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
197.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
197.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
197.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
196.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
196.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
196.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
196.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
196.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
195.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
195.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
195.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
195.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
194.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
194.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
194.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
191.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
190.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
190.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
190.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
188.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
188.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
188.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
187.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
187.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
186.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
186.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
185.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
185.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
185.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
183.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
183.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
182.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
182.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
181.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
178.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
178.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
177.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
177.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
176.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
175.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
175.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
175.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
174.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
174.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
174.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
173.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
173.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
172.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
172.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
171.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
170.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
169.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
169.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
168.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
168.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
167.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
166.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
166.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
165.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
164.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
163.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
163.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
162.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
161.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
161.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
159.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
159.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
159.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
157.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
156.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
156.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
155.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
155.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
154.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
149.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
145.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
144.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
142.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
142.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
139.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
139.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
137.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
136.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
135.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
109.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
12.4
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.
GDI2 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
177.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
338.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
283.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
266.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
260.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
257.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
255.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
255.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
246.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
245.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
233.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
229.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
226.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
224.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
216.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
215.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
214.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
214.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
214.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
214.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
212.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
210.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
209.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
208.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
207.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
206.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
200.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
199.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
199.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
199.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
197.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
197.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
195.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
193.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
193.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
192.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
192.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
190.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
190.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
186.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
180.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
180.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
176.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
176.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
176.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
174.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
172.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
170.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
170.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
169.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
169.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
168.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
167.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
167.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
167.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
162.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
161.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
159.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
157.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
157.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
156.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
155.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
155.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
153.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
152.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
151.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
151.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
149.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
147.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
147.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
146.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
144.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
143.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
141.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
138.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
131.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
124.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
122.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
122.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
114.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
114.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
112.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
112.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
111.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
109.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
72.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
67.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
66.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
GDI2 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
222.1
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
372.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
363.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
329.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
327.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
324.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
324.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
321.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
318.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
308.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
308.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
307.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
304.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
304.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
301.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
296.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
294.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
286.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
285.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
283.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
280.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
280.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
280.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
279.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
279.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
279.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
279.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
279.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
278.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
276.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
274.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
269.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
269.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
268.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
268.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
267.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
267.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
266.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
265.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
265.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
265.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
264.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
264.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
262.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
262.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
260.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
260.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
259.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
258.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
257.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
257.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
256.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
255.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
254.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
252.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
252.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
252.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
252.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
251.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
251.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
251.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
250.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
249.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
249.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
248.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
248.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
246.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
246.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
245.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
245.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
244.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
244.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
242.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
242.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
240.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
240.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
240.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
238.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
238.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
236.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
236.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
234.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
233.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
233.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
233.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
232.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
230.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
229.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
228.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
228.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
227.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
227.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
226.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
225.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
225.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
225.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
223.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
223.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
222.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
222.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
221.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
221.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
220.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
219.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
219.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
218.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
218.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
218.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
217.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
217.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
217.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
217.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
216.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
215.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
213.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
213.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
211.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
210.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
210.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
209.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
209.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
208.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
208.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
207.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
206.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
205.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
205.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
204.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
203.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
203.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
203.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
203.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
203.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
203.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
202.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
202.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
201.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
201.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
200.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
199.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
198.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
195.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
195.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
194.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
192.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
192.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
191.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
190.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
190.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
189.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
189.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
188.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
188.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
188.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
187.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
186.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
185.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
185.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
185.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
184.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
184.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
184.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
183.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
183.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
183.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
180.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
180.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
179.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
178.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
178.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
178.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
175.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
175.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
174.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
173.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
172.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
171.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
171.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
170.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
169.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
169.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
168.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
167.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
167.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
167.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
167.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
167.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
164.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
164.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
163.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
163.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
159.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
159.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
158.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
155.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
155.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
154.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
153.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
151.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
147.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
146.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
143.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
137.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
133.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
131.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
128.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
122.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
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Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
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Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
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Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
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Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
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Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
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Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
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Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
-0.1
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Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
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Tumor
-0.2
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Tumor
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.