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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.
LSM4 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
144.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
296.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
281.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
274.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
256.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
251.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
249.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
248.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
248.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
245.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
244.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
239.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
236.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
236.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
229.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
225.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
225.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
221.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
220.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
218.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
210.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
207.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
206.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
206.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
206.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
206.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
205.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
205.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
204.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
201.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
201.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
198.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
198.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
196.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
195.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
195.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
194.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
194.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
193.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
193.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
193.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
192.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
190.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
189.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
189.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
189.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
188.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
188.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
187.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
185.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
185.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
184.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
184.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
183.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
183.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
181.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
180.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
180.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
179.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
179.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
179.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
178.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
177.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
177.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
177.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
175.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
175.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
171.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
169.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
169.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
168.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
167.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
167.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
167.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
167.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
166.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
166.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
163.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
162.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
162.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
161.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
161.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
161.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
160.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
159.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
157.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
156.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
155.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
155.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
155.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
155.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
154.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
154.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
153.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
151.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
151.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
150.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
150.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
150.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
150.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
150.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
149.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
149.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
149.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
149.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
149.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
148.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
147.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
146.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
144.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
144.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
144.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
144.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
143.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
142.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
141.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
140.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
140.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
139.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
139.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
138.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
138.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
137.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
137.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
137.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
137.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
136.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
136.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
136.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
135.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
135.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
135.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
135.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
134.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
134.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
133.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
133.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
132.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
132.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
131.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
131.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
131.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
130.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
130.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
130.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
129.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
128.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
128.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
128.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
127.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
127.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
127.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
127.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
127.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
127.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
126.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
126.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
126.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
125.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
125.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
124.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
124.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
124.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
123.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
122.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
122.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
121.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
121.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
121.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
119.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
118.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
118.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
118.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
117.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
116.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
116.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
115.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
114.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
114.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
114.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
114.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
113.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
113.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
113.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
112.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
112.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
111.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
111.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
111.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
111.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
109.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
109.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
109.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
109.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
108.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
107.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
106.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
105.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
105.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
105.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
105.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
104.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
104.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
104.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
104.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
103.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
102.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
102.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
102.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
101.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
101.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
101.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
100.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
99.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
99.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
99.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
99.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
99.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
98.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
96.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
95.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
95.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
93.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
92.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
92.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
91.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
91.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
90.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
89.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
88.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
88.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
88.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
88.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
88.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
88.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
87.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
87.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
84.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
82.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
81.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
81.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
80.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
79.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
79.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
79.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
78.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
77.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
77.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
74.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
72.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
71.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
70.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
66.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
61.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 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.
LSM4 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
68.3
Number of samples
486
Samples
Sample
Description
TPM
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
293.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
153.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
152.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
152.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
149.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
142.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
140.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
136.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
133.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
130.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
130.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
126.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
125.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
123.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
123.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
122.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
121.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
115.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
114.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
114.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
113.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
112.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
111.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
111.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
111.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
108.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
106.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
104.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
104.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
104.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
102.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
102.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
102.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
101.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
101.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
101.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
101.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
100.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
100.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
99.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
99.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
99.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
99.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
99.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
99.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
98.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
98.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
97.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
97.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
96.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
96.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
96.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
96.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
96.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
94.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
94.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
94.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
94.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
94.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
93.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
93.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
93.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
93.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
92.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
92.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
92.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
91.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
91.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
91.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
91.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
90.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
90.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
90.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
89.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
89.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
88.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
88.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
88.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
87.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
87.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
87.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
87.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
87.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
87.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
87.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
87.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
86.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
86.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
86.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
86.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
86.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
85.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
85.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
85.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
85.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
84.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
83.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
83.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
83.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
83.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
82.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
81.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
81.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
81.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
80.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
80.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
80.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
80.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
80.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
80.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
80.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
79.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
79.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
79.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
79.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
79.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
78.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
78.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
78.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
78.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
78.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
78.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
78.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
78.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
78.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
77.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
77.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
77.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
77.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
77.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
77.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
76.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
76.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
76.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
76.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
76.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
76.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
76.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
75.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
75.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
75.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
75.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
75.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
75.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
75.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
75.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
75.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
74.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
74.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
74.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
74.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
74.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
73.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
73.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
73.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
73.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
73.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
72.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
72.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
72.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
72.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
72.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
72.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
72.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
72.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
71.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
71.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
71.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
71.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
71.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
71.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
71.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
71.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
70.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
70.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
70.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
70.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
70.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
70.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
70.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
70.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
69.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
69.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
69.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
69.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
69.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
69.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
69.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
69.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
68.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
68.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
68.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
68.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
68.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
68.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
68.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
68.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
68.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
67.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
67.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
67.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
67.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
67.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
67.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
67.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
67.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
67.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
67.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
67.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
67.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
66.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
66.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
66.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
66.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
66.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
66.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
66.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
66.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
66.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
66.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
66.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
66.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
65.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
65.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
65.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
65.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
65.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
65.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
65.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
65.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
65.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
64.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
64.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
64.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
64.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
64.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
64.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
64.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
64.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
64.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
64.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
63.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
63.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
63.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
63.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
63.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
63.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
63.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
63.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
63.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
63.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
63.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
62.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
62.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
62.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
62.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
61.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
61.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
61.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
61.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
61.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
61.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
61.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
61.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
60.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
60.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
60.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
60.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
60.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
60.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
60.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
60.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
60.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
59.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
59.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
59.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
59.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
59.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
59.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
59.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
59.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
58.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
58.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
58.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
57.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
57.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
56.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
56.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
56.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
55.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
55.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
55.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
55.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
55.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
54.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
54.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
54.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
54.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
53.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
53.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
53.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
53.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
52.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
52.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
52.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
52.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
52.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
52.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
51.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
51.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
51.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
50.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
50.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
50.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
50.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
50.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
50.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
49.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
49.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
48.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
48.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
48.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
47.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
47.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
47.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
47.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
46.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
46.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
45.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
45.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
44.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
43.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
42.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
42.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
41.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
40.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
36.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
34.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
32.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LSM4 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
132.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
267.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
250.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
245.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
238.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
221.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
200.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
194.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
190.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
190.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
185.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
177.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
177.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
176.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
174.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
173.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
172.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
169.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
168.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
165.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
161.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
161.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
160.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
153.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
153.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
152.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
151.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
150.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
146.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
145.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
143.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
142.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
141.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
141.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
140.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
139.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
139.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
139.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
132.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
128.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
127.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
126.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
126.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
125.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
124.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
123.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
123.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
123.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
122.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
122.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
121.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
120.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
120.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
119.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
118.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
116.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
111.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
110.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
110.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
108.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
108.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
107.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
107.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
104.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
102.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
102.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
100.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
100.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
96.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
96.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
93.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
91.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
91.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
90.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
89.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
87.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
86.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
83.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
83.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
83.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
81.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
79.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
76.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
76.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
76.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
74.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
71.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
69.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 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.
LSM4 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
57.9
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
108.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
98.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
96.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
94.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
94.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
94.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
94.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
92.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
92.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
91.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
91.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
91.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
90.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
89.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
89.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
88.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
87.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
87.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
86.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
85.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
84.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
83.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
83.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
83.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
82.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
80.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
80.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
79.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
79.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
79.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
78.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
78.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
77.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
77.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
76.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
76.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
75.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
74.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
74.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
73.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
73.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
73.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
73.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
72.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
72.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
71.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
71.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
71.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
70.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
70.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
70.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
69.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
68.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
68.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
68.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
68.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
68.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
67.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
67.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
66.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
66.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
66.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
65.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
65.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
65.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
65.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
65.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
64.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
64.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
64.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
64.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
63.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
63.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
62.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
62.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
62.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
61.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
61.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
61.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
61.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
61.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
60.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
59.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
58.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
58.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
58.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
57.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
56.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
55.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
55.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
55.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
54.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
54.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
54.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
54.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
53.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
53.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
52.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
52.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
52.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
52.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
52.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
51.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
50.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
50.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
49.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
49.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
48.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
48.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
48.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
48.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
48.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
47.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
47.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
46.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
46.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
46.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
43.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
43.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
42.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
40.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
40.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
39.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
39.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
39.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
38.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
37.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.7
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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.