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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.
LGALS3 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
1082.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4846.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2622.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2612.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2585.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2471.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2437.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2428.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2309.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2283.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2208.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2114.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2085.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
2044.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2014.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2011.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1984.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1953.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1924.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1901.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1884.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1829.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1816.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1815.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1770.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1770.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1762.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1758.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1735.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1717.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1713.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1701.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1692.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1692.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1685.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1684.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1664.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1640.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1639.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1627.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1618.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1618.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1557.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1556.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1542.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1531.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1515.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1513.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1511.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1494.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1493.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1484.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1484.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1481.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1464.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1462.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1457.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1455.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1434.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1430.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1428.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1426.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1417.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1404.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1399.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1393.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1392.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1381.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1343.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1343.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1335.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1331.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1317.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1315.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1309.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1305.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1286.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1284.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1270.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1268.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1268.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1255.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1250.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1249.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1247.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1246.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1246.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1242.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1230.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1223.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1221.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1214.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1203.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1198.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1186.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1171.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1167.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1165.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1156.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1154.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1144.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1140.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1133.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1132.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1127.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1121.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1103.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1099.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1097.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1094.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1082.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1066.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1060.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1050.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1048.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1047.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1046.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1035.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
1029.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1023.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1014.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1009.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1004.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
994.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
985.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
982.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
979.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
978.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
972.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
969.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
968.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
965.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
963.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
960.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
957.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
948.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
938.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
938.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
934.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
934.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
929.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
917.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
913.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
913.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
910.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
904.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
904.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
904.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
892.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
871.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
871.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
868.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
865.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
857.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
849.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
848.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
844.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
839.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
839.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
818.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
816.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
809.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
807.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
804.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
804.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
804.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
801.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
799.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
799.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
792.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
791.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
791.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
782.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
782.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
777.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
760.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
745.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
741.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
737.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
737.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
734.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
727.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
726.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
720.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
718.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
717.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
714.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
708.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
706.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
699.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
699.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
693.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
690.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
686.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
681.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
680.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
679.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
673.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
672.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
672.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
667.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
663.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
654.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
637.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
637.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
630.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
609.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
605.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
602.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
601.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
600.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
594.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
585.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
583.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
567.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
563.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
557.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
552.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
548.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
537.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
532.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
523.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
515.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
504.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
499.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
496.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
494.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
477.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
474.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
460.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
452.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
443.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
434.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
431.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
427.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
422.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
410.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
405.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
386.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
380.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
379.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
376.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
376.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
371.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
365.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
344.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
335.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
331.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
303.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
298.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
274.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
270.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
255.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
245.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 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.
LGALS3 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
349.3
Number of samples
486
Samples
Sample
Description
TPM
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
1345.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1158.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
932.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
881.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
879.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
859.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
851.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
830.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
812.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
790.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
784.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
755.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
748.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
739.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
727.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
714.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
704.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
703.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
702.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
697.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
666.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
648.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
642.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
633.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
633.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
626.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
619.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
614.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
608.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
605.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
603.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
592.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
592.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
591.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
588.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
581.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
580.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
576.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
574.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
565.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
559.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
555.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
554.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
553.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
553.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
552.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
545.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
543.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
541.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
539.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
538.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
535.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
532.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
526.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
523.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
523.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
513.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
512.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
511.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
509.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
509.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
507.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
505.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
505.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
499.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
496.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
496.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
492.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
487.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
482.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
479.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
478.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
476.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
476.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
476.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
475.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
475.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
474.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
471.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
471.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
471.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
470.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
469.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
468.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
467.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
462.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
462.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
460.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
460.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
460.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
459.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
458.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
458.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
456.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
456.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
454.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
454.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
454.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
453.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
452.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
449.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
448.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
448.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
446.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
443.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
441.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
441.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
439.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
435.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
435.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
435.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
434.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
434.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
432.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
431.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
431.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
428.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
428.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
428.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
426.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
426.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
424.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
421.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
420.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
419.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
418.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
418.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
418.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
418.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
417.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
416.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
414.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
413.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
413.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
409.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
408.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
408.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
406.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
406.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
405.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
405.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
404.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
403.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
403.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
402.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
401.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
401.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
397.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
397.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
396.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
395.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
395.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
395.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
393.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
392.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
391.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
390.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
390.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
390.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
390.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
389.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
387.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
386.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
386.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
385.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
385.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
385.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
384.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
382.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
381.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
381.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
379.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
379.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
378.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
378.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
377.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
377.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
376.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
375.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
374.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
373.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
372.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
372.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
371.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
370.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
370.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
368.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
368.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
368.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
368.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
364.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
364.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
364.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
363.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
362.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
360.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
358.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
357.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
357.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
356.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
356.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
355.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
354.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
353.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
350.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
350.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
350.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
349.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
349.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
348.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
347.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
346.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
346.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
345.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
345.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
345.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
344.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
343.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
343.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
342.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
342.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
342.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
341.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
341.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
340.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
340.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
339.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
339.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
338.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
337.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
337.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
336.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
335.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
334.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
334.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
334.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
334.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
333.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
333.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
332.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
332.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
331.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
331.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
330.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
329.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
329.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
328.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
327.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
326.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
325.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
323.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
323.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
323.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
323.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
323.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
323.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
320.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
320.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
320.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
319.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
319.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
319.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
318.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
318.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
317.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
316.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
315.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
315.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
315.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
314.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
313.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
313.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
313.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
313.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
313.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
312.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
310.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
309.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
308.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
307.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
306.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
306.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
305.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
305.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
304.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
304.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
303.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
302.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
302.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
301.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
300.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
300.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
300.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
300.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
299.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
299.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
297.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
295.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
294.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
293.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
292.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
292.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
292.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
291.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
291.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
290.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
290.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
290.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
289.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
288.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
284.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
284.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
281.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
280.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
279.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
279.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
279.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
277.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
276.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
273.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
271.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
271.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
271.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
271.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
270.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
269.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
265.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
265.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
264.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
264.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
264.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
263.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
263.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
262.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
259.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
258.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
258.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
257.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
256.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
255.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
255.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
255.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
253.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
253.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
253.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
250.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
250.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
250.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
250.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
248.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
246.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
246.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
246.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
245.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
244.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
244.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
241.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
240.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
240.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
239.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
239.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
238.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
237.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
236.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
236.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
234.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
234.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
233.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
233.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
232.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
232.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
231.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
230.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
228.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
228.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
228.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
228.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
227.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
227.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
225.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
225.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
225.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
224.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
224.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
222.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
220.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
220.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
219.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
218.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
217.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
216.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
216.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
215.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
215.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
214.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
214.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
213.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
213.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
212.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
210.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
209.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
209.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
209.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
209.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
206.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
206.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
205.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
204.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
204.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
203.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
203.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
202.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
200.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
200.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
200.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
199.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
199.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
199.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
198.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
196.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
196.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
194.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
193.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
192.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
191.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
191.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
191.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
190.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
189.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
186.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
186.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
185.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
184.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
184.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
184.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
184.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
182.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
181.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
179.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
178.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
178.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
173.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
171.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
168.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
167.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
167.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
165.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
165.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
165.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
165.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
162.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
161.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
161.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
159.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
159.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
155.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
155.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
152.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
152.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
150.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
149.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
149.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
148.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
144.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
139.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
133.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
131.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
130.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
129.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
129.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
124.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
124.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
120.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
118.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
109.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
109.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
108.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
108.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
105.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
99.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
89.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
89.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
81.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
12.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LGALS3 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
988.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2161.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2160.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1917.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1878.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1821.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1781.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1763.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1603.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1579.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1560.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1531.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1529.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1485.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1475.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1467.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1422.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1394.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1338.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1302.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1256.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1242.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1225.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1223.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1220.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1216.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1209.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1163.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1138.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1104.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1097.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1097.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1090.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1090.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1063.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1063.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1032.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1023.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1014.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1005.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
986.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
983.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
981.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
949.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
920.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
891.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
881.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
878.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
874.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
862.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
847.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
828.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
825.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
803.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
799.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
796.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
769.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
748.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
734.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
724.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
717.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
702.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
689.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
688.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
688.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
682.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
658.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
653.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
643.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
642.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
642.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
622.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
611.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
603.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
596.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
571.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
570.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
570.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
543.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
534.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
505.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
452.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
442.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
404.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
399.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
379.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
358.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
345.1
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.
LGALS3 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
269.4
Number of samples
207
Samples
Sample
Description
TPM
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
893.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
839.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
634.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
624.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
611.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
581.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
544.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
542.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
540.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
540.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
532.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
509.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
503.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
483.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
480.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
477.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
476.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
452.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
450.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
441.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
436.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
431.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
421.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
415.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
412.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
405.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
397.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
389.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
387.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
385.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
378.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
376.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
375.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
370.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
369.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
368.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
368.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
364.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
360.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
358.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
356.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
355.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
353.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
348.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
346.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
343.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
343.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
342.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
341.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
335.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
332.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
328.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
327.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
320.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
318.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
317.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
317.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
314.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
313.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
312.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
312.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
309.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
306.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
306.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
306.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
303.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
302.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
299.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
298.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
291.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
290.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
289.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
286.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
285.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
283.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
282.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
280.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
277.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
277.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
275.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
275.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
273.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
269.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
269.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
269.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
269.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
267.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
266.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
266.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
265.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
264.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
261.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
261.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
260.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
259.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
259.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
258.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
258.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
257.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
257.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
257.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
256.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
256.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
255.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
253.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
252.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
250.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
250.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
250.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
246.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
246.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
245.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
244.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
242.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
241.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
240.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
237.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
233.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
232.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
231.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
229.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
226.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
226.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
225.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
224.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
219.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
218.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
215.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
215.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
215.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
214.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
214.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
212.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
210.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
208.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
207.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
207.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
200.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
200.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
198.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
197.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
197.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
195.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
195.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
193.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
193.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
191.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
191.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
191.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
191.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
190.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
187.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
185.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
184.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
184.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
182.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
181.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
181.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
180.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
178.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
173.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
172.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
171.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
165.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
163.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
161.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
160.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
157.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
156.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
153.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
149.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
146.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
145.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
145.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
144.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
143.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
143.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
142.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
140.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
140.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
138.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
138.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
137.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
136.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
134.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
132.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
132.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
131.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
130.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
129.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
126.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
125.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
116.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
116.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
114.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
106.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
103.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
102.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
100.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
99.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
95.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
91.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
89.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
75.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
68.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
57.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
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Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
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Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
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Normal
0.2
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Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
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Tumor
0.2
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Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
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Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
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Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
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Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
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Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
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Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
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Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
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Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
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Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
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Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
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Normal
-0.5
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Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Normal
-0.6
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Tumor
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.8
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Normal
-0.8
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Tumor
-0.8
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Normal
-0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.8
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Tumor
-0.8
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
