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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
6319.0
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
18585.5
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
16084.9
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
15581.4
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
14986.9
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
14485.2
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
13871.6
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
13686.8
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
13336.5
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
13019.3
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
12607.7
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
12269.9
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
11888.2
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
11528.1
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
11415.8
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
11203.3
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
11101.5
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
10982.5
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
10914.9
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
10825.5
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
10721.2
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
10632.2
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
10444.0
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
10172.9
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
10151.6
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
10030.3
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
9899.4
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
9893.1
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
9860.8
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
9282.6
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
9175.1
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
9173.4
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
9136.2
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
8883.0
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
8728.4
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
8685.9
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
8682.7
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
8433.6
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
8413.2
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
8354.4
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
8245.6
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
8145.6
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
8008.6
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
7865.2
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
7825.7
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
7751.6
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
7698.9
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
7698.5
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
7562.0
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
7504.6
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
7500.0
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
7478.9
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
7396.7
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
7307.7
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
7307.1
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
7269.1
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
7238.4
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
7198.7
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
7143.6
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
7119.1
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
6882.1
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
6871.7
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
6807.8
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
6791.2
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
6778.6
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
6668.6
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
6628.3
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
6343.3
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
6253.1
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
6199.0
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
6197.4
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
6187.6
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
6168.5
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
6118.7
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
6116.0
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
6115.1
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
6100.1
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
6067.8
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
6041.7
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
5953.6
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
5906.8
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
5856.9
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
5787.6
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
5698.3
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
5697.2
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
5687.3
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
5624.3
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
5604.0
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
5560.6
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
5558.9
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
5556.1
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
5546.3
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
5531.3
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
5528.3
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
5520.8
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
5456.5
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
5449.0
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
5417.3
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
5395.5
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
5393.6
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
5324.2
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
5305.0
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
5292.6
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
5278.6
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
5271.3
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
5270.8
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
5132.0
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
5089.9
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
5054.6
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
5024.4
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
4924.6
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
4914.6
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
4898.7
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
4882.6
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
4841.9
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
4780.0
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
4733.6
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
4707.7
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
4661.9
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
4642.4
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
4627.4
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
4615.5
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
4527.9
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
4516.0
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
4486.5
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
4445.7
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
4432.6
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
4416.8
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
4257.1
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
4255.0
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
4216.9
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
4133.7
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
4059.2
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
4056.8
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
4000.6
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
3906.2
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
3863.7
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
3811.3
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
3793.3
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
3775.7
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
3740.1
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
3712.1
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
3701.9
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
3701.5
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
3661.3
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
3608.7
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
3559.7
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
3512.4
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
3476.8
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
3379.6
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
3317.2
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
3311.3
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
3245.1
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
3192.8
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
3187.5
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
3011.4
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
2940.0
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
2718.4
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
2648.2
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
2627.5
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
2564.7
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
2493.9
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
2439.7
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
2347.2
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
2297.3
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
2174.1
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
2156.6
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
2132.3
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
2110.2
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
1986.8
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
1938.4
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
1901.8
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
1747.7
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
1740.4
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
1574.1
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
1535.7
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
1059.2
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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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high. This score is based on the staining intensity and fraction of stained cells.