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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.
HNRNPA1 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
870.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3238.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2936.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2546.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2427.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2299.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2160.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1675.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1583.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1528.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1399.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1358.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1339.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1301.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1286.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1278.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1262.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1252.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1246.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1233.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1231.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1231.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1225.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1210.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1201.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1167.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1163.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1161.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1148.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1141.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1139.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1133.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1123.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1123.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1122.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1114.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1114.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1111.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1109.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1096.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1091.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1082.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1076.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1072.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1065.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1062.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1061.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1057.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
1047.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1042.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1036.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1027.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1025.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1018.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1017.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1014.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1010.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1008.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1007.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1005.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1004.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1003.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1002.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
985.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
984.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
980.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
966.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
965.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
964.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
956.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
953.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
953.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
951.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
948.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
947.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
946.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
944.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
936.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
933.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
932.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
927.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
927.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
926.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
921.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
920.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
920.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
916.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
915.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
914.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
914.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
912.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
907.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
896.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
895.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
893.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
892.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
890.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
886.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
884.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
882.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
881.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
872.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
865.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
862.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
858.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
857.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
855.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
854.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
853.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
851.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
849.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
848.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
846.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
845.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
841.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
840.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
839.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
832.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
830.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
828.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
828.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
824.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
819.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
818.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
817.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
817.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
816.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
815.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
810.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
810.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
808.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
808.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
807.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
802.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
801.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
799.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
793.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
791.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
787.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
787.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
785.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
779.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
779.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
776.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
775.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
773.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
772.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
771.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
768.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
766.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
764.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
762.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
759.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
759.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
758.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
757.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
756.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
752.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
748.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
747.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
743.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
743.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
738.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
737.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
734.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
729.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
728.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
728.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
727.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
726.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
723.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
723.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
722.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
720.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
719.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
716.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
715.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
709.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
696.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
696.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
693.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
689.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
689.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
688.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
683.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
680.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
679.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
678.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
676.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
674.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
670.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
669.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
667.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
667.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
666.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
661.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
659.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
652.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
647.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
646.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
641.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
638.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
636.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
631.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
627.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
626.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
625.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
621.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
618.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
612.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
611.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
606.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
606.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
605.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
604.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
598.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
596.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
594.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
586.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
584.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
579.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
579.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
578.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
573.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
572.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
570.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
569.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
567.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
566.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
560.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
554.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
551.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
545.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
544.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
537.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
536.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
533.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
528.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
510.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
505.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
499.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
495.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
491.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
483.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
473.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
471.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
470.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
468.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
457.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
445.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
425.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
397.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
390.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
364.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
HNRNPA1 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
577.5
Number of samples
486
Samples
Sample
Description
TPM
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1093.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1032.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1020.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
972.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
967.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
925.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
924.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
910.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
884.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
869.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
866.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
866.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
864.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
862.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
857.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
856.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
845.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
835.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
829.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
820.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
818.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
817.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
810.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
808.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
807.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
805.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
801.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
797.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
797.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
796.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
795.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
792.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
791.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
791.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
790.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
786.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
786.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
785.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
785.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
785.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
781.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
781.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
781.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
780.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
780.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
779.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
774.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
771.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
770.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
768.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
767.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
766.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
766.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
765.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
765.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
763.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
762.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
761.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
760.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
753.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
753.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
751.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
748.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
747.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
739.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
737.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
735.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
733.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
732.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
731.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
730.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
728.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
728.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
723.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
721.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
717.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
716.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
715.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
714.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
714.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
713.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
713.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
713.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
711.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
710.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
706.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
706.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
704.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
703.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
702.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
702.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
702.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
700.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
700.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
700.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
699.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
698.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
698.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
697.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
696.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
695.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
694.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
693.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
691.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
689.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
686.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
686.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
686.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
685.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
682.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
676.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
676.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
675.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
673.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
673.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
669.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
668.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
665.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
663.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
662.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
662.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
661.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
659.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
659.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
656.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
656.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
656.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
654.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
654.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
654.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
651.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
651.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
650.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
649.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
648.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
647.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
644.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
644.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
642.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
642.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
641.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
639.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
638.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
638.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
636.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
634.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
634.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
632.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
631.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
630.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
630.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
629.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
627.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
627.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
626.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
622.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
619.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
618.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
618.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
618.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
617.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
617.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
615.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
615.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
615.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
614.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
614.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
614.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
613.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
612.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
611.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
609.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
609.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
608.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
605.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
603.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
602.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
601.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
601.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
600.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
600.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
600.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
599.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
598.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
598.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
597.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
596.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
594.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
594.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
594.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
593.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
593.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
593.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
592.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
591.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
591.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
590.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
590.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
590.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
589.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
589.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
588.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
588.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
587.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
587.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
587.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
586.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
586.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
585.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
585.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
584.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
583.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
581.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
581.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
579.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
578.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
578.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
578.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
576.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
575.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
574.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
573.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
573.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
573.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
572.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
572.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
572.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
572.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
572.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
571.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
571.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
571.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
571.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
571.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
570.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
568.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
568.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
568.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
568.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
567.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
566.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
565.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
565.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
563.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
561.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
561.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
560.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
560.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
560.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
559.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
559.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
558.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
557.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
557.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
557.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
556.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
555.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
554.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
554.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
553.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
553.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
553.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
552.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
552.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
552.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
552.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
551.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
550.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
550.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
550.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
550.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
549.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
545.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
545.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
544.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
544.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
543.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
543.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
543.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
541.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
541.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
540.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
539.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
538.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
538.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
538.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
535.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
533.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
533.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
532.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
532.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
532.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
531.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
530.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
530.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
529.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
529.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
528.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
527.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
527.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
527.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
526.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
525.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
524.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
524.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
524.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
523.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
522.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
520.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
520.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
520.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
520.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
517.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
517.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
516.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
516.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
516.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
515.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
514.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
514.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
514.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
513.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
512.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
510.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
510.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
509.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
509.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
509.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
509.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
509.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
508.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
508.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
508.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
507.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
505.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
505.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
505.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
503.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
503.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
502.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
502.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
502.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
501.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
500.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
499.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
499.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
499.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
498.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
498.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
498.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
497.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
496.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
496.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
496.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
495.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
494.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
493.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
493.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
492.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
491.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
491.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
489.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
489.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
488.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
488.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
487.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
486.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
484.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
480.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
480.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
480.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
480.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
478.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
478.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
477.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
476.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
475.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
474.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
473.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
473.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
473.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
472.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
471.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
471.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
468.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
468.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
467.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
464.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
464.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
463.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
463.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
462.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
462.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
460.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
458.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
458.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
458.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
457.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
456.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
452.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
451.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
450.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
450.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
449.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
449.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
448.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
447.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
447.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
446.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
446.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
445.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
445.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
444.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
443.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
442.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
441.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
440.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
439.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
438.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
437.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
436.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
436.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
434.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
434.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
433.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
432.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
431.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
429.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
427.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
427.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
426.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
426.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
426.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
425.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
423.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
422.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
422.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
422.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
420.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
418.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
417.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
416.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
406.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
405.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
404.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
404.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
403.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
400.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
399.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
399.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
397.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
395.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
393.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
392.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
391.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
391.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
388.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
388.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
388.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
385.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
384.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
379.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
373.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
373.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
373.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
369.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
368.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
364.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
360.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
358.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
356.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
354.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
351.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
347.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
346.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
346.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
343.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
336.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
330.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
310.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
307.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
303.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
303.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
289.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
44.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HNRNPA1 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
826.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1481.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1377.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1323.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1299.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1206.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1139.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1137.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1124.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1110.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1108.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1096.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1068.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1062.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1060.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1059.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1059.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1055.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1043.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1039.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1034.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1028.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1005.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
997.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
966.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
944.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
939.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
919.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
918.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
917.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
914.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
910.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
909.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
904.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
900.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
899.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
881.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
877.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
869.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
855.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
822.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
815.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
815.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
813.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
809.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
806.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
801.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
799.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
796.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
791.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
791.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
761.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
759.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
756.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
753.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
752.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
746.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
743.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
733.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
718.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
718.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
717.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
707.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
695.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
685.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
682.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
659.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
651.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
638.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
618.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
611.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
610.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
607.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
604.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
600.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
599.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
592.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
589.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
586.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
585.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
583.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
552.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
549.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
529.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
432.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
414.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
406.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
258.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HNRNPA1 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
521.9
Number of samples
207
Samples
Sample
Description
TPM
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1086.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
875.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
872.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
871.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
855.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
850.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
842.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
809.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
807.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
796.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
793.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
788.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
774.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
755.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
752.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
740.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
734.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
731.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
731.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
729.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
714.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
713.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
713.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
709.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
706.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
705.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
700.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
699.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
696.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
691.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
688.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
682.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
670.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
669.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
656.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
654.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
652.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
652.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
644.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
644.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
643.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
638.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
635.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
632.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
629.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
619.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
618.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
617.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
616.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
609.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
609.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
600.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
597.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
588.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
587.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
587.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
579.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
578.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
577.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
577.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
574.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
569.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
568.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
567.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
567.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
563.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
559.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
559.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
557.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
555.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
554.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
549.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
547.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
546.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
544.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
541.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
541.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
541.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
540.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
538.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
537.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
535.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
533.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
532.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
532.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
532.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
532.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
529.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
529.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
527.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
526.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
526.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
525.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
523.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
522.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
522.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
520.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
518.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
518.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
517.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
516.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
511.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
510.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
507.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
506.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
505.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
504.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
503.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
503.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
502.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
501.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
501.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
500.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
494.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
493.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
491.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
490.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
490.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
486.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
486.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
486.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
484.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
484.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
483.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
480.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
480.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
479.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
476.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
476.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
475.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
474.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
471.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
469.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
464.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
460.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
457.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
455.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
455.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
454.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
453.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
452.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
452.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
450.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
448.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
448.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
447.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
447.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
446.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
444.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
440.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
439.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
436.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
433.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
425.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
423.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
421.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
419.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
417.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
414.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
414.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
414.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
410.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
409.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
405.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
404.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
403.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
399.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
399.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
396.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
393.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
387.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
379.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
379.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
375.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
370.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
368.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
366.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
365.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
364.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
364.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
360.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
360.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
357.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
357.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
351.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
350.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
346.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
345.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
341.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
340.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
338.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
336.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
334.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
332.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
331.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
322.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
318.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
311.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
304.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
303.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
300.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
294.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
286.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
283.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
278.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
253.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
55.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
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Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
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Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
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Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
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Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
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.