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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.
LMAN2 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
163.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
301.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
288.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
283.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
282.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
281.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
266.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
264.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
260.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
256.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
253.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
250.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
250.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
243.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
243.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
239.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
239.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
236.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
232.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
231.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
230.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
229.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
228.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
225.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
225.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
224.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
221.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
221.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
220.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
219.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
219.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
218.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
211.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
210.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
208.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
207.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
206.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
206.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
200.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
199.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
199.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
198.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
198.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
197.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
197.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
197.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
195.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
195.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
194.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
193.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
193.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
193.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
193.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
192.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
191.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
190.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
189.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
189.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
189.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
187.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
187.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
187.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
186.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
185.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
185.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
184.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
184.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
184.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
184.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
184.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
183.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
183.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
183.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
182.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
182.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
182.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
181.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
181.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
179.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
179.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
175.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
175.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
175.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
175.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
175.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
175.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
173.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
172.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
172.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
171.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
170.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
170.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
170.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
169.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
169.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
169.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
169.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
168.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
168.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
168.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
168.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
167.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
166.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
166.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
166.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
166.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
166.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
165.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
165.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
164.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
164.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
164.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
164.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
164.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
163.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
163.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
163.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
163.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
162.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
162.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
162.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
161.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
161.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
161.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
160.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
160.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
160.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
160.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
160.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
160.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
160.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
160.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
159.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
158.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
158.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
158.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
157.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
157.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
156.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
156.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
155.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
155.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
155.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
155.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
154.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
154.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
153.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
153.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
153.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
152.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
152.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
151.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
151.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
151.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
151.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
150.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
150.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
149.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
149.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
149.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
148.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
147.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
147.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
146.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
146.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
146.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
146.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
146.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
145.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
145.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
144.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
144.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
144.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
144.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
144.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
143.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
143.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
143.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
142.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
142.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
142.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
141.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
141.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
140.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
139.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
139.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
138.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
137.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
137.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
137.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
137.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
136.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
135.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
135.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
134.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
134.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
134.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
132.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
132.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
132.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
132.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
131.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
131.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
131.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
130.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
129.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
129.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
129.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
127.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
127.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
125.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
125.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
123.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
121.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
120.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
120.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
120.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
120.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
119.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
118.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
117.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
116.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
116.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
115.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
115.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
115.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
114.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
113.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
113.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
112.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
111.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
110.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
110.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
109.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
108.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
107.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
106.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
106.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
105.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
102.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
100.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
100.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
98.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
97.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
97.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
95.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
94.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
92.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
91.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
88.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
83.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
81.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
80.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
71.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
LMAN2 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
98.3
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
263.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
218.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
198.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
198.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
185.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
175.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
174.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
172.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
163.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
163.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
159.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
159.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
158.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
157.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
157.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
154.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
154.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
152.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
151.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
151.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
148.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
148.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
147.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
146.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
144.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
144.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
143.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
142.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
142.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
141.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
141.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
140.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
140.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
138.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
137.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
137.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
136.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
135.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
135.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
134.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
134.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
134.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
134.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
133.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
132.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
132.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
132.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
132.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
132.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
131.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
130.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
129.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
129.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
129.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
129.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
129.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
129.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
129.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
129.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
128.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
127.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
126.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
126.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
126.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
126.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
125.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
125.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
125.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
125.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
125.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
125.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
124.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
124.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
124.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
123.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
123.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
123.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
123.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
122.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
122.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
122.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
122.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
121.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
121.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
121.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
121.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
120.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
120.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
120.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
120.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
120.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
119.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
119.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
119.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
119.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
118.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
118.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
118.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
117.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
117.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
117.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
117.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
117.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
117.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
117.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
116.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
116.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
116.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
116.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
115.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
115.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
115.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
114.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
114.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
114.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
114.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
113.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
113.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
113.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
113.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
113.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
113.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
113.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
113.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
113.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
113.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
112.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
112.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
111.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
111.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
111.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
111.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
111.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
111.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
111.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
111.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
110.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
110.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
110.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
110.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
109.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
109.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
109.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
109.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
109.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
109.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
109.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
109.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
108.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
108.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
108.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
108.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
108.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
108.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
107.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
107.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
107.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
107.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
107.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
107.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
106.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
106.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
106.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
106.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
106.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
106.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
106.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
106.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
106.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
105.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
105.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
105.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
104.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
104.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
104.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
104.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
103.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
103.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
103.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
103.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
103.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
103.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
102.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
102.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
102.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
102.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
102.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
102.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
101.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
101.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
101.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
101.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
101.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
101.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
101.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
101.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
100.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
100.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
100.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
100.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
100.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
100.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
100.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
100.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
100.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
100.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
100.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
99.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
99.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
99.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
99.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
99.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
99.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
99.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
99.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
99.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
98.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
98.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
98.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
98.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
98.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
98.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
98.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
98.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
98.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
98.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
98.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
98.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
98.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
97.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
97.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
97.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
97.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
97.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
97.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
97.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
96.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
96.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
96.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
96.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
96.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
96.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
96.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
96.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
96.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
96.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
96.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
96.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
96.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
95.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
95.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
95.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
95.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
95.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
94.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
94.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
94.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
94.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
94.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
94.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
94.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
93.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
93.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
93.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
93.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
93.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
93.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
93.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
92.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
92.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
92.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
92.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
91.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
91.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
91.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
91.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
91.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
91.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
90.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
90.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
90.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
90.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
89.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
89.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
89.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
89.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
89.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
89.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
89.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
89.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
89.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
89.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
88.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
88.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
88.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
88.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
88.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
88.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
88.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
88.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
88.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
88.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
88.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
88.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
88.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
88.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
87.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
87.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
87.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
87.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
87.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
87.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
87.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
87.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
86.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
86.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
86.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
86.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
86.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
86.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
85.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
85.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
85.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
85.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
85.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
85.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
85.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
85.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
85.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
84.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
84.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
84.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
84.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
84.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
84.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
84.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
84.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
84.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
83.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
83.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
83.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
83.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
83.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
83.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
82.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
82.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
82.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
82.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
82.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
82.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
82.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
81.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
81.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
81.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
81.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
81.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
81.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
81.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
81.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
81.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
81.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
81.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
81.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
81.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
81.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
81.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
80.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
80.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
79.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
79.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
79.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
79.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
79.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
79.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
79.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
78.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
78.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
78.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
78.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
78.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
78.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
78.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
78.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
78.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
77.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
77.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
77.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
77.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
77.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
76.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
76.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
76.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
76.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
76.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
76.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
76.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
76.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
75.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
75.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
75.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
75.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
74.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
74.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
74.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
74.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
74.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
73.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
73.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
73.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
73.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
73.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
73.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
72.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
72.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
72.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
72.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
72.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
71.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
71.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
71.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
70.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
70.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
70.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
70.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
70.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
70.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
69.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
69.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
69.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
69.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
69.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
69.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
69.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
69.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
68.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
67.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
67.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
67.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
66.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
66.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
66.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
66.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
65.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
65.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
65.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
63.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
63.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
62.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
62.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
62.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
61.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
61.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
61.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
60.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
60.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
60.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
59.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
59.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
58.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
58.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
56.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
56.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
55.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
52.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
51.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
50.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
47.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
42.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
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.
LMAN2 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
152.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
292.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
281.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
262.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
242.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
239.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
236.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
235.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
221.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
219.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
214.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
207.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
204.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
203.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
197.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
197.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
193.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
192.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
189.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
187.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
186.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
186.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
183.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
173.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
171.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
171.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
170.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
169.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
169.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
166.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
166.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
166.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
165.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
164.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
163.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
162.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
162.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
161.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
161.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
161.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
160.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
160.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
159.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
159.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
152.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
150.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
150.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
147.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
145.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
144.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
140.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
138.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
136.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
135.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
135.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
134.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
134.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
130.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
128.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
128.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
128.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
127.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
126.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
119.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
119.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
117.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
117.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
114.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
113.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
113.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
111.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
110.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
107.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
107.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
105.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
101.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
101.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
97.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
94.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
92.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
92.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
91.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
88.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
81.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
77.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
76.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
74.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
71.2
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.
LMAN2 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
85.0
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
163.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
149.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
148.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
145.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
141.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
138.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
137.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
136.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
129.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
128.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
128.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
128.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
125.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
124.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
124.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
123.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
121.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
121.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
120.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
120.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
120.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
120.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
119.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
118.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
115.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
115.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
114.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
114.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
114.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
114.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
112.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
111.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
110.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
110.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
109.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
109.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
108.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
106.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
105.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
104.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
104.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
103.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
103.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
103.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
103.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
103.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
102.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
101.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
101.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
101.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
101.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
100.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
99.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
99.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
98.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
97.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
97.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
97.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
97.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
96.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
96.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
95.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
94.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
94.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
94.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
94.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
94.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
92.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
92.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
92.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
90.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
90.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
90.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
90.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
90.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
90.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
88.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
88.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
88.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
87.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
87.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
87.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
86.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
85.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
85.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
85.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
85.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
85.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
84.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
84.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
84.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
84.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
83.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
83.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
83.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
83.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
82.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
82.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
81.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
81.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
81.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
81.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
81.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
81.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
81.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
81.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
80.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
80.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
80.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
80.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
80.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
79.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
79.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
79.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
79.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
78.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
78.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
78.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
78.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
77.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
77.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
76.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
76.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
76.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
75.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
75.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
75.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
74.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
74.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
74.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
74.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
74.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
74.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
73.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
73.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
73.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
73.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
71.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
71.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
71.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
71.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
71.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
71.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
70.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
70.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
70.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
69.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
69.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
69.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
68.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
68.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
68.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
67.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
67.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
67.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
67.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
67.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
67.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
66.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
65.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
64.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
64.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
63.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
62.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
62.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
62.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
61.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
60.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
59.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
59.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
59.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
59.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
58.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
58.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
57.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
57.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
55.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
54.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
54.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
53.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
53.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
52.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
46.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
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Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
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
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
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Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
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Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
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Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
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Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
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.