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.
SND1 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
121.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
252.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
223.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
211.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
209.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
207.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
198.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
197.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
191.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
184.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
183.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
181.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
178.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
177.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
177.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
176.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
175.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
174.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
174.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
171.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
169.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
168.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
168.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
164.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
163.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
163.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
162.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
162.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
162.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
160.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
159.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
159.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
157.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
157.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
156.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
156.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
155.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
155.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
155.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
155.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
155.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
155.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
150.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
149.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
148.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
148.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
148.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
148.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
148.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
146.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
146.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
146.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
145.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
145.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
145.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
145.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
144.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
144.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
144.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
143.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
143.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
142.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
140.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
139.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
139.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
139.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
139.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
138.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
138.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
138.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
138.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
138.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
138.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
137.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
137.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
137.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
136.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
136.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
136.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
135.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
135.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
135.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
135.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
134.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
134.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
133.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
132.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
132.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
132.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
130.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
130.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
129.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
128.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
128.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
128.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
128.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
128.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
128.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
128.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
127.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
127.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
127.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
127.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
126.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
126.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
125.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
125.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
125.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
125.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
124.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
123.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
122.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
122.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
121.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
120.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
120.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
120.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
120.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
119.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
119.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
119.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
118.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
118.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
118.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
118.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
117.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
117.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
117.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
117.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
117.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
117.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
116.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
116.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
116.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
116.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
116.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
116.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
115.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
115.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
115.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
115.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
114.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
114.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
114.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
113.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
113.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
112.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
112.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
112.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
112.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
112.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
112.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
111.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
111.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
111.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
111.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
111.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
111.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
110.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
110.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
110.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
109.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
109.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
109.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
109.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
108.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
108.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
108.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
107.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
106.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
106.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
106.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
105.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
105.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
104.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
103.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
103.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
103.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
103.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
102.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
102.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
102.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
102.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
102.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
102.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
102.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
101.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
101.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
100.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
100.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
99.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
99.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
98.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
98.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
98.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
97.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
97.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
97.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
97.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
96.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
96.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
96.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
95.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
95.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
95.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
95.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
94.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
94.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
94.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
93.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
93.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
92.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
92.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
92.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
91.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
91.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
91.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
90.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
90.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
90.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
90.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
89.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
89.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
89.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
88.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
88.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
87.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
86.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
86.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
85.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
83.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
83.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
78.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
76.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
76.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
76.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
75.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
75.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
74.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
74.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
74.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
74.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
73.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
70.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
68.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
62.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
61.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
61.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
60.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
58.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
57.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
57.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
57.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
50.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
SND1 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
120.4
Number of samples
486
Samples
Sample
Description
TPM
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
276.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
235.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
233.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
219.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
217.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
215.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
215.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
214.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
214.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
214.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
211.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
208.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
205.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
205.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
202.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
201.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
201.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
201.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
199.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
198.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
197.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
197.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
196.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
194.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
194.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
193.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
192.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
190.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
189.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
189.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
187.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
186.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
186.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
186.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
185.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
183.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
182.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
182.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
182.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
180.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
178.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
177.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
176.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
176.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
175.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
175.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
174.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
174.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
173.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
173.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
168.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
168.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
167.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
167.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
165.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
165.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
164.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
164.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
162.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
162.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
161.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
160.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
160.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
160.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
159.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
158.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
158.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
158.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
158.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
157.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
157.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
156.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
156.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
156.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
154.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
154.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
154.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
154.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
154.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
154.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
154.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
153.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
153.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
153.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
153.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
153.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
153.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
151.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
150.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
150.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
150.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
150.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
150.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
150.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
150.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
149.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
149.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
148.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
148.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
148.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
147.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
147.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
147.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
147.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
147.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
146.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
146.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
145.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
145.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
145.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
145.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
144.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
143.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
143.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
143.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
143.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
143.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
143.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
143.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
143.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
142.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
142.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
141.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
141.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
141.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
140.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
140.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
140.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
140.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
139.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
139.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
139.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
137.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
137.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
137.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
137.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
137.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
136.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
135.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
135.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
135.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
134.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
134.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
134.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
134.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
134.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
134.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
134.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
133.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
133.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
133.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
133.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
132.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
132.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
132.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
132.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
132.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
131.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
130.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
130.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
130.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
130.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
129.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
129.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
129.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
129.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
129.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
129.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
128.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
128.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
128.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
128.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
127.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
127.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
127.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
127.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
127.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
126.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
126.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
126.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
125.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
125.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
125.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
125.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
125.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
124.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
124.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
124.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
124.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
123.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
123.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
123.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
123.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
123.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
123.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
122.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
122.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
122.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
122.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
121.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
121.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
121.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
121.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
121.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
121.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
120.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
120.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
120.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
120.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
120.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
120.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
120.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
120.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
120.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
120.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
120.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
120.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
119.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
119.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
119.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
119.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
119.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
119.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
119.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
118.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
118.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
117.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
116.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
116.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
116.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
116.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
116.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
116.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
116.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
116.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
115.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
115.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
115.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
115.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
115.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
114.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
114.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
114.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
114.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
114.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
114.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
114.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
114.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
114.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
114.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
114.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
114.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
114.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
114.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
114.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
114.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
113.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
113.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
113.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
113.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
113.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
113.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
113.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
113.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
112.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
112.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
112.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
112.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
112.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
111.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
111.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
111.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
111.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
111.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
111.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
110.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
110.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
110.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
110.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
109.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
109.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
109.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
109.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
109.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
109.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
108.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
108.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
108.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
108.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
108.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
108.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
107.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
107.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
107.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
107.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
107.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
107.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
107.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
107.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
106.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
106.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
105.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
105.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
105.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
105.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
104.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
103.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
103.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
103.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
102.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
102.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
102.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
102.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
102.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
101.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
101.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
101.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
101.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
101.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
101.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
100.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
100.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
100.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
100.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
99.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
99.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
99.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
99.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
99.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
99.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
99.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
99.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
98.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
98.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
98.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
98.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
98.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
98.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
98.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
97.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
97.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
97.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
97.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
97.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
97.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
97.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
97.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
97.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
96.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
96.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
96.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
96.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
96.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
96.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
95.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
95.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
95.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
95.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
95.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
95.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
95.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
95.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
95.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
95.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
95.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
95.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
95.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
94.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
94.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
94.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
93.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
93.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
93.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
93.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
93.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
92.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
92.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
92.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
92.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
92.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
91.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
91.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
91.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
91.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
91.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
90.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
90.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
90.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
90.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
90.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
89.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
89.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
89.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
89.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
89.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
89.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
88.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
88.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
88.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
88.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
87.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
87.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
87.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
87.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
86.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
86.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
86.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
86.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
86.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
86.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
86.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
86.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
85.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
85.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
84.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
84.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
83.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
83.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
83.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
83.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
83.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
83.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
83.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
82.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
82.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
82.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
81.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
81.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
81.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
81.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
80.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
80.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
79.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
79.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
78.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
78.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
77.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
77.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
77.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
76.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
76.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
76.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
76.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
76.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
76.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
75.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
75.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
75.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
73.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
73.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
73.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
73.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
73.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
73.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
73.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
73.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
73.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
72.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
70.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
70.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
70.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
70.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
70.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
70.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
69.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
69.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
67.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
67.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
66.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
65.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
64.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
63.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
63.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
60.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
59.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
58.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
47.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.1
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.
SND1 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
122.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
254.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
196.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
194.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
194.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
186.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
184.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
184.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
177.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
176.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
174.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
169.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
168.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
167.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
167.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
165.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
164.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
164.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
161.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
161.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
159.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
153.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
150.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
150.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
147.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
143.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
139.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
139.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
139.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
138.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
138.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
137.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
137.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
135.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
135.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
133.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
133.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
130.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
129.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
128.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
126.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
124.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
123.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
122.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
122.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
121.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
120.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
120.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
120.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
120.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
119.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
117.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
117.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
117.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
116.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
116.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
111.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
110.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
109.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
107.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
107.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
106.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
106.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
104.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
100.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
98.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
95.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
94.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
90.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
90.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
87.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
83.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
83.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
79.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
79.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
78.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
77.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
77.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
76.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
73.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
69.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
67.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
66.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
60.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
59.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
46.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
37.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
15.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
SND1 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
111.6
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
347.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
250.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
231.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
221.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
210.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
195.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
192.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
179.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
179.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
177.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
174.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
173.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
173.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
172.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
170.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
167.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
163.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
163.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
163.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
162.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
158.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
157.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
156.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
154.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
153.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
147.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
146.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
146.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
143.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
143.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
142.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
139.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
138.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
137.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
136.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
136.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
135.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
134.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
133.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
132.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
130.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
130.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
129.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
129.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
129.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
127.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
127.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
127.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
126.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
125.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
125.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
125.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
124.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
123.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
123.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
122.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
122.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
121.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
121.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
121.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
121.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
120.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
120.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
120.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
119.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
119.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
119.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
119.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
118.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
118.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
117.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
116.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
116.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
116.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
115.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
115.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
115.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
114.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
114.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
113.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
113.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
113.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
113.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
112.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
112.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
112.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
112.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
111.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
111.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
111.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
110.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
110.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
109.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
109.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
108.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
108.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
107.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
107.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
107.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
106.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
106.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
106.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
105.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
105.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
105.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
105.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
104.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
104.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
104.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
104.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
103.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
103.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
103.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
102.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
102.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
102.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
102.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
101.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
101.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
101.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
99.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
99.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
99.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
99.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
98.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
98.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
98.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
98.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
97.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
97.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
97.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
97.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
97.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
97.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
97.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
96.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
95.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
94.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
93.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
93.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
92.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
92.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
92.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
92.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
91.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
90.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
90.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
90.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
90.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
89.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
89.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
89.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
89.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
88.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
88.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
88.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
88.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
87.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
87.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
87.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
86.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
86.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
86.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
86.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
85.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
85.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
85.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
84.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
84.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
83.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
83.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
83.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
81.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
81.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
80.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
80.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
80.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
79.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
79.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
79.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
78.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
78.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
77.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
76.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
75.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
75.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
74.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
74.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
73.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
73.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
72.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
71.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
71.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
71.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
71.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
70.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
69.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
68.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
64.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
63.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
63.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
62.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
58.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
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
