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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.
FN1 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
281.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
3234.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
2048.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2024.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1956.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1869.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1559.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1532.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1509.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1294.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1200.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
1161.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1099.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1078.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1051.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
910.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
909.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
886.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
851.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
848.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
827.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
817.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
794.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
782.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
772.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
756.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
688.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
684.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
677.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
669.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
659.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
647.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
621.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
621.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
620.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
597.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
562.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
553.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
528.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
509.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
508.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
487.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
482.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
470.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
465.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
464.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
450.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
443.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
440.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
434.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
430.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
427.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
420.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
412.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
408.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
395.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
390.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
384.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
380.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
379.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
374.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
372.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
361.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
350.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
344.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
342.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
336.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
322.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
320.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
320.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
314.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
313.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
313.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
311.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
308.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
307.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
292.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
282.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
276.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
274.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
274.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
272.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
262.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
259.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
259.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
249.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
249.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
241.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
234.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
230.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
229.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
229.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
222.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
216.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
215.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
209.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
204.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
203.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
202.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
196.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
195.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
189.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
189.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
186.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
185.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
182.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
181.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
181.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
181.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
180.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
177.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
174.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
170.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
168.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
168.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
167.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
165.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
160.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
157.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
157.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
156.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
154.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
150.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
148.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
146.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
146.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
144.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
143.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
143.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
140.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
139.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
132.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
132.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
127.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
126.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
124.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
121.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
120.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
119.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
118.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
116.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
115.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
114.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
110.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
104.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
103.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
101.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
98.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
90.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
87.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
86.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
84.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
80.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
79.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
77.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
76.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
75.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
74.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
71.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
71.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
71.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
69.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
69.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
69.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
68.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
67.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
66.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
65.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
61.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
60.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
60.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
59.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
59.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
58.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
57.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
57.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
57.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
53.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
52.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
49.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
49.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
48.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
48.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
47.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
47.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
46.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
46.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
44.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
44.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
43.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
43.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
43.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
41.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
40.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
40.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
39.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
37.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
37.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
36.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
36.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
33.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
31.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
30.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
30.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
28.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
28.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
27.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
26.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
24.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
24.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
24.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
22.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
21.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
20.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
20.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
19.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
19.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
18.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
18.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
17.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
16.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
16.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
12.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
11.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
9.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
FN1 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
470.1
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
3505.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
3061.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
2660.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
2370.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
2289.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
2095.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
2058.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1918.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1898.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1863.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1772.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
1747.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1708.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1705.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1622.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1588.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1573.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1561.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1515.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1499.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1474.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1469.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1450.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1434.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1396.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1384.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1361.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1360.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1298.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1292.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1288.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1288.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1184.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1182.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1179.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
1167.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1159.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1148.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1127.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1097.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1097.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1068.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1066.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1062.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1058.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1057.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1056.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1046.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1036.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1034.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1017.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1015.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1005.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
984.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
981.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
970.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
963.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
960.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
951.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
939.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
937.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
933.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
928.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
927.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
923.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
922.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
921.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
919.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
914.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
913.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
908.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
896.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
892.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
892.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
889.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
879.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
873.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
868.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
856.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
852.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
842.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
824.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
823.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
817.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
809.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
808.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
806.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
801.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
799.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
786.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
773.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
769.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
765.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
762.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
761.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
754.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
752.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
743.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
743.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
743.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
741.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
737.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
733.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
698.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
697.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
695.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
678.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
677.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
677.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
676.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
673.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
665.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
662.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
658.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
653.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
650.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
643.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
640.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
622.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
621.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
616.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
616.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
615.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
609.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
604.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
602.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
596.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
581.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
573.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
562.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
560.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
559.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
554.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
553.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
551.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
548.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
548.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
538.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
532.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
532.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
531.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
530.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
529.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
528.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
526.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
521.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
516.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
514.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
514.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
510.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
510.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
510.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
509.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
508.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
505.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
500.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
499.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
499.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
498.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
498.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
497.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
496.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
491.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
488.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
488.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
488.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
486.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
486.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
486.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
482.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
480.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
479.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
477.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
473.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
473.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
471.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
470.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
469.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
468.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
461.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
459.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
452.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
450.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
450.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
448.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
444.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
442.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
440.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
439.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
437.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
434.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
431.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
426.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
426.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
424.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
423.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
422.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
422.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
419.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
418.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
416.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
414.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
413.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
413.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
411.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
407.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
406.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
404.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
403.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
403.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
401.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
395.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
391.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
388.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
386.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
385.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
378.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
377.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
375.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
368.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
368.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
365.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
365.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
363.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
361.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
360.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
359.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
358.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
357.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
352.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
352.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
349.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
349.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
348.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
348.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
348.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
346.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
346.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
343.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
341.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
341.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
336.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
336.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
336.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
334.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
332.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
331.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
330.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
329.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
329.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
328.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
326.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
323.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
322.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
319.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
316.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
315.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
312.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
312.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
312.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
311.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
310.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
309.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
308.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
305.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
305.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
304.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
302.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
296.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
296.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
295.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
291.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
289.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
283.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
282.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
282.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
281.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
280.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
273.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
270.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
267.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
265.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
261.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
261.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
261.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
257.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
257.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
255.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
255.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
254.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
253.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
252.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
251.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
250.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
248.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
248.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
248.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
248.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
246.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
246.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
245.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
242.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
241.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
241.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
241.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
240.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
238.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
238.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
237.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
236.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
236.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
233.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
231.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
230.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
230.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
230.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
224.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
221.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
221.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
220.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
218.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
216.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
213.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
210.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
205.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
203.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
198.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
198.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
196.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
195.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
194.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
194.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
188.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
184.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
183.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
183.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
181.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
181.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
180.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
180.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
179.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
178.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
178.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
175.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
175.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
173.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
172.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
170.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
170.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
169.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
169.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
169.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
167.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
167.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
166.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
166.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
162.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
161.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
160.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
160.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
157.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
155.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
153.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
153.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
151.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
151.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
149.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
148.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
146.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
145.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
144.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
143.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
142.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
142.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
141.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
140.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
138.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
137.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
136.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
136.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
132.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
130.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
129.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
128.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
128.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
128.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
125.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
124.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
123.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
119.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
117.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
116.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
115.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
114.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
113.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
110.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
110.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
110.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
109.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
108.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
107.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
107.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
106.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
105.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
105.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
102.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
102.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
101.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
101.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
100.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
97.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
96.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
94.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
93.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
92.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
92.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
92.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
92.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
91.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
90.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
89.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
88.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
87.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
84.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
83.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
83.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
81.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
81.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
78.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
78.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
77.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
72.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
72.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
71.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
70.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
67.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
66.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
66.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
65.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
61.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
60.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
59.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
59.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
58.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
58.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
55.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
47.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
46.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
41.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
37.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
37.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
37.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
36.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
33.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
32.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
30.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
27.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
27.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
27.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
22.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
19.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
17.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
17.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
16.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
15.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
10.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
8.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
7.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
7.0
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.
FN1 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
314.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
2155.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1502.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1440.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1431.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1426.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1027.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
985.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
817.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
816.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
728.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
716.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
638.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
569.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
532.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
522.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
518.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
515.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
505.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
475.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
455.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
445.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
443.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
431.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
412.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
411.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
391.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
340.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
324.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
276.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
270.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
264.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
249.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
236.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
235.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
228.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
218.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
216.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
205.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
194.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
192.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
189.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
181.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
181.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
174.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
172.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
161.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
160.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
158.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
153.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
148.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
145.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
144.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
135.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
121.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
119.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
118.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
117.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
101.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
97.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
95.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
82.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
76.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
73.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
69.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
64.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
63.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
61.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
55.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
49.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
44.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
44.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
34.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
26.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
25.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
24.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
20.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
20.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
19.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FN1 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
459.8
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
9032.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
3507.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
2755.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
2154.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
2144.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
2102.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
2070.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1556.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
1486.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1384.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1307.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1288.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1171.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1165.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
1099.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1088.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
1080.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
1072.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1042.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1020.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
961.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
953.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
932.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
924.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
903.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
892.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
858.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
856.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
810.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
802.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
802.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
779.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
772.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
756.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
738.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
716.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
691.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
663.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
651.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
649.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
649.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
642.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
640.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
632.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
608.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
604.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
603.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
585.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
579.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
573.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
568.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
566.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
547.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
536.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
535.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
528.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
515.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
494.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
479.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
478.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
476.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
472.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
462.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
460.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
453.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
446.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
445.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
433.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
428.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
426.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
411.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
409.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
408.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
407.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
398.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
395.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
392.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
390.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
380.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
376.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
372.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
371.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
370.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
357.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
351.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
349.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
349.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
348.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
345.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
345.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
332.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
321.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
317.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
307.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
299.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
291.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
281.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
279.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
276.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
275.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
268.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
262.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
254.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
249.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
247.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
243.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
242.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
239.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
236.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
233.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
232.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
230.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
228.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
225.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
224.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
221.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
219.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
219.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
217.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
215.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
207.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
198.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
191.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
187.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
184.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
183.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
178.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
178.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
178.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
177.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
174.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
173.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
166.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
147.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
146.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
145.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
144.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
141.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
137.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
135.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
135.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
133.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
129.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
128.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
127.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
126.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
125.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
125.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
122.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
120.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
119.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
119.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
117.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
117.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
116.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
113.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
110.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
108.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
107.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
106.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
105.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
104.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
102.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
99.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
99.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
94.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
91.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
88.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
87.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
85.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
84.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
83.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
82.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
80.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
75.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
74.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
72.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
72.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
69.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
68.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
66.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
57.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
52.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
48.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
45.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
39.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
36.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
26.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
23.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
17.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
14.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
14.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
12.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
6.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
5.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.8
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.9
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.9
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.9
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.