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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TM9SF2 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
131.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
418.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
405.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
341.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
315.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
292.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
290.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
283.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
275.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
260.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
257.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
254.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
253.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
253.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
251.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
245.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
243.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
242.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
241.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
239.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
233.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
227.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
227.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
224.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
220.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
216.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
215.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
211.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
209.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
208.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
207.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
207.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
202.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
202.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
201.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
198.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
197.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
197.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
196.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
195.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
194.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
194.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
191.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
190.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
189.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
188.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
188.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
184.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
181.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
179.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
179.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
179.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
176.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
176.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
175.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
172.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
172.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
169.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
169.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
169.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
168.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
166.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
164.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
164.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
160.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
155.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
155.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
155.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
155.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
154.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
154.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
153.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
151.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
150.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
149.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
148.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
148.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
147.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
146.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
145.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
143.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
141.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
140.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
140.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
139.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
137.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
135.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
135.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
135.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
134.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
134.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
134.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
133.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
132.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
131.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
131.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
131.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
130.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
130.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
129.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
129.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
129.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
128.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
128.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
127.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
127.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
127.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
126.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
126.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
125.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
125.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
125.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
125.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
124.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
123.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
123.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
122.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
122.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
122.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
121.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
121.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
119.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
119.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
118.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
117.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
116.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
115.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
115.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
115.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
114.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
114.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
113.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
113.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
112.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
112.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
112.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
111.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
111.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
111.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
110.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
110.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
109.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
109.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
108.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
108.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
107.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
106.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
105.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
105.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
105.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
104.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
104.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
103.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
102.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
101.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
101.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
101.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
101.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
100.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
100.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
100.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
100.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
99.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
99.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
99.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
99.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
99.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
98.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
97.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
97.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
97.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
97.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
97.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
95.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
94.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
94.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
94.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
94.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
94.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
93.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
91.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
91.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
91.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
91.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
90.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
90.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
90.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
90.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
90.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
90.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
89.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
89.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
89.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
89.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
89.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
88.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
88.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
88.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
88.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
85.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
84.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
84.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
83.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
82.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
82.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
81.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
80.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
79.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
79.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
79.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
79.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
78.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
78.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
77.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
76.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
75.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
75.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
74.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
74.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
74.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
73.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
73.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
72.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
72.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
72.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
71.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
70.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
69.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
69.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
69.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
69.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
68.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
67.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
67.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
65.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
64.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
64.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
63.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
63.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
61.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
60.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
60.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
58.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
57.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
56.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
55.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
52.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
49.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
48.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
44.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
43.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
TM9SF2 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
138.9
Number of samples
486
Samples
Sample
Description
TPM
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
399.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
326.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
321.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
299.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
282.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
277.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
272.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
264.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
263.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
262.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
260.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
258.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
257.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
254.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
248.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
246.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
245.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
242.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
240.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
238.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
232.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
232.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
230.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
230.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
227.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
227.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
227.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
226.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
225.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
225.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
221.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
219.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
218.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
217.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
212.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
211.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
210.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
210.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
209.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
208.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
208.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
207.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
207.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
206.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
202.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
200.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
199.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
199.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
198.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
197.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
196.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
195.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
195.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
193.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
193.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
192.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
191.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
191.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
191.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
191.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
191.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
191.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
188.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
188.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
186.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
186.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
186.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
185.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
185.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
184.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
183.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
183.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
182.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
182.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
182.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
182.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
181.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
181.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
180.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
180.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
179.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
179.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
178.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
177.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
177.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
177.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
176.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
175.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
175.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
175.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
175.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
175.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
175.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
173.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
173.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
172.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
172.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
170.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
170.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
169.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
169.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
169.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
169.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
169.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
168.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
168.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
168.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
167.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
166.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
166.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
165.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
165.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
164.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
163.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
163.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
163.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
163.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
162.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
162.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
162.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
162.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
161.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
160.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
160.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
159.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
159.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
157.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
157.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
156.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
156.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
156.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
156.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
156.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
155.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
155.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
155.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
155.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
155.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
155.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
154.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
154.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
154.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
154.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
154.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
154.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
154.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
154.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
153.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
153.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
153.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
153.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
152.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
152.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
152.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
152.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
152.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
151.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
151.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
151.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
151.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
150.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
150.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
150.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
150.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
149.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
149.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
148.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
148.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
148.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
147.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
147.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
147.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
146.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
146.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
145.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
145.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
145.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
144.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
143.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
143.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
143.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
143.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
143.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
143.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
143.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
143.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
143.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
142.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
142.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
142.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
142.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
141.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
141.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
140.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
140.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
140.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
140.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
139.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
139.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
138.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
138.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
138.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
138.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
137.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
137.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
137.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
137.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
137.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
137.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
136.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
136.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
136.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
136.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
135.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
135.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
135.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
135.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
134.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
134.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
134.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
134.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
134.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
133.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
133.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
133.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
133.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
133.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
133.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
133.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
133.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
132.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
132.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
132.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
132.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
131.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
131.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
131.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
131.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
131.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
131.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
130.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
130.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
130.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
130.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
129.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
129.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
129.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
129.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
129.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
129.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
129.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
129.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
129.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
129.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
129.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
129.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
129.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
128.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
128.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
128.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
128.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
128.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
127.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
127.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
127.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
127.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
127.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
127.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
127.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
127.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
126.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
126.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
126.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
126.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
126.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
126.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
126.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
126.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
125.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
125.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
125.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
125.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
124.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
124.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
124.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
124.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
124.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
124.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
124.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
123.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
123.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
123.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
123.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
122.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
122.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
122.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
122.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
122.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
121.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
121.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
121.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
121.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
120.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
120.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
120.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
120.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
120.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
120.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
120.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
119.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
119.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
119.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
119.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
119.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
119.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
119.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
119.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
119.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
119.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
118.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
118.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
118.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
118.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
118.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
117.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
117.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
117.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
116.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
116.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
116.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
116.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
115.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
115.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
115.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
115.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
114.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
114.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
114.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
114.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
114.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
114.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
114.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
112.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
112.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
112.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
111.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
110.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
110.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
110.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
110.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
109.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
109.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
109.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
109.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
109.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
108.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
108.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
108.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
108.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
108.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
107.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
107.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
107.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
107.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
107.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
107.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
107.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
106.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
106.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
106.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
105.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
105.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
105.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
105.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
104.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
104.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
104.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
104.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
104.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
104.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
103.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
103.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
103.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
102.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
102.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
102.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
101.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
101.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
101.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
101.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
100.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
100.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
100.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
100.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
99.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
98.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
98.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
98.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
98.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
98.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
98.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
98.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
97.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
97.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
97.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
97.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
97.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
97.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
97.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
97.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
96.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
96.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
95.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
95.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
95.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
95.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
95.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
95.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
95.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
94.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
94.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
94.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
94.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
94.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
93.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
93.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
92.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
92.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
92.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
92.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
92.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
90.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
89.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
89.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
89.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
88.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
88.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
88.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
88.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
87.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
85.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
85.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
85.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
84.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
84.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
83.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
83.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
82.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
82.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
82.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
82.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
82.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
82.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
81.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
81.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
80.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
80.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
80.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
78.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
78.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
77.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
76.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
76.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
76.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
76.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
75.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
75.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
75.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
72.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
71.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
70.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
68.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
67.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
67.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
66.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
65.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
63.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
63.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
59.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
58.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
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.
TM9SF2 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
149.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
318.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
317.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
305.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
280.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
272.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
267.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
265.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
261.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
241.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
239.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
233.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
233.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
216.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
211.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
206.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
202.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
202.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
198.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
197.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
196.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
195.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
193.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
191.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
188.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
186.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
186.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
176.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
176.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
174.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
167.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
160.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
160.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
159.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
155.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
154.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
147.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
147.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
140.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
140.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
140.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
140.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
139.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
137.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
136.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
136.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
135.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
133.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
132.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
131.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
131.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
130.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
128.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
125.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
119.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
119.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
117.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
117.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
115.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
114.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
112.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
112.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
112.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
111.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
111.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
111.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
106.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
103.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
102.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
102.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
101.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
101.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
100.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
99.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
94.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
94.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
92.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
91.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
91.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
86.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
80.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
79.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
73.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
57.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
49.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
48.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
45.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
32.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TM9SF2 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
144.3
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
418.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
378.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
339.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
324.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
309.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
285.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
250.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
242.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
240.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
237.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
236.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
235.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
232.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
232.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
226.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
223.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
220.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
218.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
218.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
211.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
209.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
206.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
205.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
203.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
202.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
202.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
201.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
196.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
196.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
187.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
185.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
184.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
181.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
181.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
178.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
177.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
176.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
172.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
172.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
172.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
172.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
172.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
171.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
170.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
168.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
167.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
163.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
163.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
163.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
163.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
161.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
161.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
160.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
160.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
159.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
158.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
158.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
157.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
156.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
156.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
156.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
156.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
156.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
155.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
155.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
154.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
154.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
153.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
152.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
152.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
152.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
150.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
149.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
149.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
148.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
148.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
148.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
147.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
147.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
146.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
146.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
146.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
146.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
145.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
144.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
143.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
142.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
141.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
141.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
141.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
141.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
140.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
138.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
138.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
137.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
136.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
135.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
135.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
135.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
135.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
134.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
134.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
134.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
134.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
133.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
132.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
132.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
131.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
130.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
130.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
130.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
130.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
130.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
130.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
130.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
130.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
129.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
129.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
128.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
127.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
127.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
126.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
126.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
125.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
125.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
124.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
124.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
124.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
123.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
123.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
123.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
122.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
122.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
121.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
120.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
119.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
118.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
118.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
117.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
117.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
116.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
116.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
116.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
115.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
114.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
114.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
114.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
113.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
113.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
113.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
113.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
113.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
113.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
111.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
111.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
110.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
110.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
109.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
108.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
107.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
106.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
106.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
105.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
105.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
104.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
104.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
103.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
103.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
103.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
103.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
102.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
102.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
102.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
101.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
101.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
101.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
100.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
100.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
98.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
98.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
98.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
97.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
95.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
95.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
95.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
94.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
94.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
94.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
93.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
93.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
92.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
92.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
90.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
89.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
88.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
88.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
87.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
85.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
85.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
83.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
77.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
74.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
73.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
73.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
65.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
60.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
b2400046-1d25-429d-a821-6040a6
Tumor
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.1
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
