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PANCREATIC CANCER - Interactive survival scatter ploti
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 interactive Survival Scatter plot allows for the cutoff to be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Survival analysis". Under the Survival Scatter plot the p-score landscape is shown together with the difference in median between survival time for patients who have died with respect to high and low expression. This is intended to aid the user in exploring custom cutoffs.
Individual patient data is displayed in an interactive plot 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).
Based on the FPKM value of each gene, we classified the patients into two groups and examined their prognoses. In the analysis, we excluded genes with low expression, i.e., those with a median expression among samples less than FPKM 1. The prognosis of each group of patients was examined by Kaplan-Meier survival estimators, and the survival outcomes of the two groups were compared by log-rank tests. To choose the best FPKM cut-offs for grouping the patients most significantly, all FPKM values from the 20th to 80th percentiles were used to group the patients, significant differences in the survival outcomes of the groups were examined and the value yielding the lowest log-rank P value is selected.
: 1080.21
Median expression: N/A
Median follow up time: 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 median 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 FPKM
1128.3
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
2835.5
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
2123.5
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
1920.8
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
1896.7
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
1810.3
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
1775.2
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
1706.7
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
1692.3
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
1689.5
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
1679.8
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
1625.0
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
1616.6
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
1613.6
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
1606.3
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
1604.1
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
1603.5
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
1601.8
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
1591.4
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
1585.2
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
1565.2
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
1530.9
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
1528.9
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
1518.1
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
1513.4
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
1473.5
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
1469.3
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
1464.1
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
1452.2
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
1443.5
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
1437.4
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
1434.7
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
1427.4
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
1405.2
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
1402.0
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
1400.8
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
1382.3
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
1381.5
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
1379.6
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
1364.7
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
1362.4
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
1362.1
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
1360.5
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
1355.8
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
1350.8
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
1343.5
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
1337.2
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
1328.1
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
1315.2
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
1306.6
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
1299.5
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
1298.2
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
1282.1
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
1274.2
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
1269.7
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
1264.9
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
1258.1
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
1240.9
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
1237.6
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
1230.1
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
1230.0
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
1226.7
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
1226.6
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
1225.5
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
1225.0
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
1223.1
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
1220.5
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
1218.6
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
1217.1
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
1216.8
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
1206.7
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
1198.6
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
1185.0
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
1173.6
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
1170.9
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
1161.6
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
1157.4
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
1157.4
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
1156.1
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
1152.8
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
1148.1
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
1134.2
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
1132.0
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
1128.1
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
1126.2
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
1124.3
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
1123.0
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
1112.4
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
1106.4
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
1106.0
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
1098.6
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
1096.9
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
1094.9
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
1082.7
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
1077.7
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
1069.1
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
1054.4
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
1053.8
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
1052.8
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
1052.3
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
1050.4
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
1038.6
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
1035.6
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
1034.4
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
1032.7
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
1030.0
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
1029.2
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
1023.3
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
1017.5
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
1014.3
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
1012.7
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
1007.5
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
1005.4
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
1003.8
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
999.9
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
995.8
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
992.0
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
988.7
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
982.9
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
978.7
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
971.3
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
969.6
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
954.5
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
946.0
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
944.3
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
942.3
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
932.7
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
928.3
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
919.2
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
916.7
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
905.6
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
903.7
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
902.7
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
890.1
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
886.2
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
871.3
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
861.8
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
858.7
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
855.7
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
850.9
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
847.6
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
846.4
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
839.1
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
829.7
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
823.6
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
813.5
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
805.3
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
802.7
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
799.7
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
798.3
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
785.7
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
784.7
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
770.6
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
759.2
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
744.5
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
735.9
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
722.3
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
719.5
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
715.6
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
714.6
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
706.1
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
702.3
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
699.4
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
689.9
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
679.4
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
672.0
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
669.0
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
664.1
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
658.5
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
631.9
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
577.3
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
519.0
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
516.9
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
452.4
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
426.2
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
379.1
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
245.5
Show all
PANCREATIC 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
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).
The Human Protein Atlas project is funded
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