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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 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.
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 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
1535.2
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
5347.9
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
4527.4
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
3905.1
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
3748.6
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
3517.6
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
3470.3
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
3341.2
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
3333.4
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
3289.3
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
3218.9
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
3191.5
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
3089.0
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
3036.6
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
2994.9
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
2993.2
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
2885.3
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
2818.2
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
2735.9
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
2707.8
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
2646.4
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
2614.0
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
2497.7
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
2488.2
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
2470.8
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
2461.0
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
2419.1
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
2405.5
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
2358.2
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
2353.0
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
2308.2
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
2268.2
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
2256.9
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
2252.3
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
2209.1
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
2207.7
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
2205.8
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
2119.4
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
2098.0
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
2048.5
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
2040.7
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
2037.7
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
2035.6
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
1983.3
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
1967.2
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
1960.1
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
1949.5
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
1948.6
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
1947.6
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
1946.2
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
1944.7
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
1911.0
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
1855.5
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
1854.6
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
1835.2
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
1821.6
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
1810.4
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
1761.5
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
1748.1
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
1742.3
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
1677.6
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
1669.5
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
1666.3
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
1655.6
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
1655.5
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
1640.6
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
1639.2
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
1626.7
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
1605.0
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
1573.1
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
1563.3
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
1514.5
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
1507.8
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
1504.9
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
1497.3
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
1494.5
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
1488.3
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
1473.4
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
1431.8
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
1401.0
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
1396.4
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
1392.2
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
1378.3
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
1376.5
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
1376.3
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
1351.7
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
1344.8
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
1341.9
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
1315.4
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
1304.1
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
1300.2
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
1287.6
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
1284.9
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
1281.7
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
1268.4
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
1262.1
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
1251.4
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
1249.8
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
1248.3
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
1232.8
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
1231.0
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
1228.3
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
1225.4
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
1224.3
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
1221.0
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
1217.5
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
1212.8
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
1208.5
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
1203.7
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
1195.6
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
1176.5
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
1165.2
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
1150.1
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
1137.0
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
1133.8
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
1123.9
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
1123.5
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
1123.0
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
1111.6
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
1107.3
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
1081.0
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
1072.7
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
1066.1
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
1034.5
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
1030.0
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
1002.1
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
996.8
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
982.0
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
953.1
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
951.2
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
934.8
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
933.7
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
929.9
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
908.9
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
908.1
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
902.2
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
899.5
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
893.1
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
859.4
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
840.1
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
816.7
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
805.7
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
801.2
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
797.2
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
795.5
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
758.4
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
724.8
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
707.4
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
697.7
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
695.5
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
694.9
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
684.9
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
671.7
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
655.2
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
636.6
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
628.7
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
620.5
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
585.4
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
578.0
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
563.4
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
556.1
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
551.5
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
533.9
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
517.3
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
493.8
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
477.4
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
443.0
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
439.3
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
417.2
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
414.4
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
401.6
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
390.1
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
385.8
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
330.9
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
282.2
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
254.9
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
219.5
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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.