We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LMNA 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
131.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
367.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
334.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
318.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
311.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
291.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
280.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
268.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
263.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
258.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
257.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
254.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
252.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
252.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
245.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
244.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
241.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
241.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
237.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
236.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
235.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
232.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
232.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
232.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
229.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
223.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
223.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
222.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
221.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
220.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
219.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
215.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
211.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
202.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
199.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
198.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
197.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
195.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
193.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
193.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
192.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
191.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
190.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
185.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
182.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
182.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
181.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
180.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
180.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
180.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
177.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
175.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
174.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
174.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
173.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
173.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
170.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
170.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
169.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
167.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
166.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
166.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
165.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
164.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
164.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
160.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
160.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
160.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
159.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
159.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
159.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
158.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
157.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
155.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
155.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
153.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
153.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
153.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
149.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
147.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
147.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
147.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
146.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
144.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
143.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
143.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
142.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
142.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
140.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
139.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
139.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
139.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
138.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
137.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
137.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
137.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
137.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
136.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
136.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
134.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
134.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
133.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
133.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
132.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
131.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
130.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
129.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
128.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
128.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
127.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
127.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
126.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
125.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
125.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
125.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
125.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
124.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
124.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
122.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
121.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
121.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
121.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
120.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
119.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
118.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
118.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
118.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
117.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
117.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
116.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
116.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
114.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
114.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
113.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
113.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
112.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
112.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
111.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
109.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
109.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
109.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
109.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
109.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
108.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
108.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
108.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
107.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
106.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
106.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
106.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
106.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
105.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
105.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
105.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
105.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
105.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
104.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
104.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
104.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
103.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
103.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
103.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
102.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
102.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
102.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
102.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
101.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
100.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
100.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
100.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
99.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
99.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
99.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
98.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
97.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
96.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
96.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
95.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
95.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
95.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
95.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
94.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
94.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
94.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
93.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
92.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
91.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
91.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
90.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
90.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
90.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
89.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
88.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
88.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
87.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
86.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
85.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
85.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
85.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
85.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
85.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
84.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
83.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
83.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
82.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
81.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
81.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
81.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
81.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
80.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
80.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
78.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
77.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
77.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
76.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
75.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
75.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
74.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
73.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
73.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
72.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
72.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
72.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
69.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
69.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
69.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
68.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
67.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
66.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
66.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
65.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
65.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
64.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
64.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
63.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
63.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
62.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
62.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
59.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
59.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
58.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
58.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
57.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
54.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
53.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
50.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
49.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
48.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
48.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
46.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
45.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
44.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
42.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
LMNA 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
166.2
Number of samples
486
Samples
Sample
Description
TPM
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
497.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
410.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
378.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
371.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
350.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
339.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
336.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
333.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
331.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
300.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
299.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
295.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
295.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
294.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
290.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
289.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
289.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
288.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
286.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
284.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
284.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
281.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
281.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
281.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
280.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
278.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
278.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
278.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
277.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
275.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
275.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
274.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
271.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
269.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
267.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
267.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
265.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
263.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
262.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
261.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
261.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
260.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
260.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
260.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
259.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
257.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
256.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
255.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
254.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
253.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
253.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
251.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
251.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
251.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
243.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
243.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
241.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
241.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
240.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
239.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
237.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
237.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
236.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
234.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
232.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
231.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
231.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
230.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
229.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
228.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
227.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
226.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
225.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
224.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
223.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
223.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
222.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
222.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
221.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
221.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
219.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
219.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
219.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
218.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
218.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
218.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
217.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
217.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
215.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
214.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
214.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
214.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
214.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
214.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
213.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
213.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
212.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
211.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
211.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
210.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
209.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
209.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
209.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
209.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
207.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
206.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
206.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
206.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
205.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
205.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
205.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
203.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
203.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
201.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
201.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
201.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
200.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
198.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
198.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
198.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
198.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
197.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
196.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
196.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
196.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
196.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
195.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
195.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
194.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
194.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
194.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
194.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
193.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
193.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
193.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
193.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
193.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
193.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
192.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
192.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
192.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
191.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
191.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
191.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
190.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
190.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
190.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
189.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
189.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
188.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
188.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
188.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
187.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
187.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
186.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
186.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
186.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
186.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
186.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
185.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
185.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
185.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
185.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
184.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
184.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
184.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
183.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
183.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
183.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
183.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
182.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
181.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
181.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
181.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
181.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
180.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
180.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
179.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
179.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
179.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
179.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
178.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
177.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
176.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
175.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
175.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
175.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
175.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
175.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
175.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
175.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
174.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
174.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
174.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
173.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
173.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
173.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
173.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
172.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
171.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
171.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
171.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
170.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
170.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
170.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
170.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
170.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
170.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
169.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
169.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
169.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
167.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
167.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
167.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
167.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
167.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
167.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
166.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
166.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
166.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
165.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
165.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
165.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
164.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
164.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
164.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
164.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
163.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
163.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
163.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
163.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
162.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
162.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
161.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
161.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
161.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
160.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
160.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
160.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
159.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
159.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
159.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
159.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
158.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
158.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
158.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
158.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
158.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
158.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
158.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
158.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
158.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
156.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
156.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
156.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
155.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
155.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
154.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
154.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
154.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
154.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
153.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
153.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
153.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
153.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
153.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
152.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
152.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
151.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
150.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
150.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
150.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
149.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
149.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
149.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
149.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
148.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
147.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
147.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
147.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
147.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
146.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
145.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
145.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
145.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
144.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
143.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
143.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
142.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
142.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
142.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
142.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
141.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
141.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
140.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
140.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
140.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
140.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
139.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
139.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
138.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
138.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
138.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
138.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
138.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
137.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
137.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
137.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
137.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
136.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
136.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
136.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
135.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
135.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
135.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
135.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
134.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
134.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
134.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
133.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
133.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
133.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
133.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
132.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
132.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
132.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
131.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
131.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
131.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
131.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
131.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
130.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
130.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
130.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
129.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
129.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
128.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
128.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
128.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
128.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
127.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
126.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
126.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
126.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
126.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
125.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
124.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
124.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
124.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
124.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
124.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
124.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
124.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
123.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
123.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
123.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
122.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
122.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
122.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
122.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
122.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
121.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
121.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
121.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
121.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
120.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
120.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
120.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
119.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
119.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
119.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
119.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
119.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
118.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
118.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
118.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
118.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
117.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
117.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
117.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
116.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
116.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
115.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
115.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
115.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
115.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
113.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
113.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
113.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
112.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
112.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
112.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
112.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
112.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
112.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
112.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
111.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
111.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
111.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
109.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
109.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
109.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
108.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
108.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
107.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
107.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
105.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
105.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
104.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
104.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
104.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
104.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
104.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
104.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
104.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
103.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
102.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
102.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
102.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
101.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
101.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
100.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
100.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
100.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
100.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
100.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
99.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
99.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
99.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
99.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
99.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
99.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
99.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
99.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
98.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
98.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
98.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
97.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
97.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
97.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
96.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
96.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
96.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
96.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
96.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
96.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
95.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
95.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
94.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
94.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
92.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
92.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
92.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
92.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
92.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
91.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
90.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
90.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
90.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
90.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
90.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
89.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
89.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
86.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
84.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
83.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
79.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
79.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
78.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
78.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
78.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
77.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
77.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
76.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
73.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
70.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
67.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
67.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
67.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
65.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
63.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
47.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LMNA 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
113.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
327.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
260.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
234.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
234.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
201.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
193.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
173.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
167.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
160.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
160.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
158.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
157.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
156.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
156.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
151.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
150.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
149.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
145.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
144.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
141.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
141.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
140.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
139.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
136.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
136.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
135.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
133.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
133.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
130.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
127.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
127.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
127.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
127.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
125.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
119.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
118.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
116.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
115.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
114.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
112.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
111.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
111.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
111.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
110.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
108.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
107.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
107.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
106.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
105.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
104.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
102.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
99.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
97.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
95.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
93.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
91.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
90.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
90.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
88.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
87.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
85.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
85.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
82.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
81.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
79.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
77.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
77.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
75.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
75.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
73.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
71.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
70.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
67.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
67.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
63.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
62.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
62.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
61.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
60.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
60.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
54.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
52.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
51.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
44.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
35.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
30.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
LMNA 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
149.1
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
373.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
328.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
309.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
306.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
285.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
267.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
266.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
257.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
252.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
247.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
245.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
244.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
239.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
239.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
238.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
237.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
235.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
229.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
227.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
222.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
221.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
220.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
214.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
212.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
212.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
212.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
207.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
199.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
198.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
197.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
197.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
194.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
191.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
191.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
190.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
189.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
187.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
186.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
186.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
186.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
185.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
183.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
183.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
182.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
182.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
181.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
180.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
180.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
179.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
178.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
178.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
178.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
177.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
175.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
175.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
174.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
173.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
173.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
170.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
166.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
165.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
164.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
164.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
164.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
163.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
163.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
162.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
160.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
160.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
159.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
159.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
159.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
158.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
157.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
157.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
157.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
156.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
156.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
155.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
154.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
154.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
154.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
153.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
152.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
151.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
151.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
151.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
151.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
150.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
149.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
149.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
147.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
146.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
146.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
146.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
145.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
144.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
144.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
144.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
144.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
144.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
143.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
143.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
142.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
142.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
142.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
141.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
141.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
140.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
139.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
139.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
138.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
138.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
137.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
137.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
136.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
136.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
136.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
135.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
133.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
132.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
131.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
129.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
128.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
128.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
127.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
127.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
126.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
125.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
124.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
123.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
122.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
121.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
121.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
121.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
120.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
119.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
119.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
118.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
118.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
118.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
117.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
116.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
116.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
116.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
115.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
115.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
115.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
113.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
113.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
112.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
112.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
111.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
111.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
110.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
109.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
109.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
109.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
108.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
108.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
107.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
107.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
107.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
107.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
106.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
105.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
105.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
105.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
105.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
105.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
104.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
103.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
102.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
101.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
101.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
100.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
100.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
100.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
99.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
99.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
99.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
98.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
96.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
92.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
91.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
91.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
91.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
90.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
90.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
89.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
89.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
88.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
87.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
87.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
87.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
86.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
85.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
82.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
81.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
79.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
77.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
75.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
73.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
71.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
69.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
63.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
48.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
