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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
7760.8
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
22907.7
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
21343.0
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
20534.1
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
17766.7
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
17215.8
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
16036.1
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
15823.9
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
15351.6
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
15322.0
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
15257.7
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
15236.7
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
14356.3
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
13879.3
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
13246.0
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
13066.1
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
12964.3
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
12632.3
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
12631.0
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
12569.9
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
12481.3
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
12464.5
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
12074.3
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
12023.9
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
11732.3
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
11703.9
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
11676.0
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
11654.9
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
11596.4
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
11518.1
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
11242.2
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
11115.8
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
10998.1
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
10783.9
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
10766.4
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
10572.6
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
10549.7
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
10545.3
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
10160.0
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
9859.3
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
9751.2
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
9677.3
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
9598.2
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
9597.2
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
9562.7
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
9379.4
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
9207.1
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
9176.0
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
8921.5
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
8876.7
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
8854.7
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
8835.0
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
8800.7
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
8747.6
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
8704.1
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
8691.0
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
8646.5
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
8630.8
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
8618.5
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
8591.0
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
8569.8
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
8555.8
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
8542.1
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
8482.1
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
8341.2
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
8306.5
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
8236.4
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
8235.5
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
8184.2
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
8182.0
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
8174.9
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
8161.0
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
8085.6
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
8066.3
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
8021.4
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
7955.7
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
7938.6
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
7874.3
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
7843.4
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
7835.5
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
7586.7
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
7581.0
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
7417.0
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
7321.9
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
7319.6
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
7301.8
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
7241.7
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
7129.8
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
7065.6
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
6999.6
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
6971.1
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
6922.3
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
6854.0
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
6826.1
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
6718.9
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
6694.8
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
6685.4
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
6630.2
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
6529.5
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
6512.4
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
6436.6
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
6432.2
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
6359.4
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
6338.4
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
6329.7
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
6309.6
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
6294.0
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
6294.0
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
6235.7
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
6232.6
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
6195.1
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
6129.2
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
6128.0
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
6088.0
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
6070.0
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
6069.8
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
6048.2
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
6012.6
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
5976.9
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
5939.6
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
5933.4
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
5903.7
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
5897.9
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
5848.6
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
5837.9
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
5613.5
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
5566.6
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
5472.8
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
5462.7
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
5428.3
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
5354.9
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
5349.0
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
5285.8
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
5153.3
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
5022.2
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
4985.4
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
4938.6
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
4881.7
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
4843.5
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
4821.5
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
4787.4
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
4624.2
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
4366.3
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
4323.0
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
4288.1
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
4253.9
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
4180.1
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
4146.3
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
4032.2
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
3956.7
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
3914.0
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
3863.2
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
3731.5
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
3727.0
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
3699.8
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
3697.3
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
3677.1
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
3668.6
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
3640.9
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
3468.8
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
3399.2
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
3227.2
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
3205.4
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
3051.9
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
2912.7
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
2912.3
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
2908.3
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
2825.5
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
2815.1
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
2738.2
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
2714.4
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
2672.7
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
2421.0
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
2306.7
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
2263.2
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
1963.9
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
1571.1
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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.