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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.
MT-ATP6 is prognostic, high expression is favorable in pancreatic cancer
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 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
4887.7
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
13023.3
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
12150.0
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
11651.7
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
11269.0
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
10987.4
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
9739.9
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
9673.7
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
9612.2
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
9543.2
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
9405.6
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
9198.1
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
9039.7
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
9024.6
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
8863.5
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
8813.8
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
8763.7
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
8560.4
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
8259.7
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
8248.4
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
7929.9
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
7838.0
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
7734.2
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
7625.6
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
7595.0
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
7590.8
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
7547.1
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
7534.7
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
7292.5
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
7206.7
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
7178.4
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
7078.1
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
7059.6
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
7010.6
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
6862.4
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
6730.0
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
6694.6
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
6443.4
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
6373.0
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
6350.8
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
6260.0
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
6232.3
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
6226.1
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
6126.0
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
6121.3
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
6083.0
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
6076.4
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
6067.1
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
6034.8
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
6010.2
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
5820.5
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
5790.4
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
5787.4
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
5766.0
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
5677.1
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
5611.7
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
5575.3
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
5567.1
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
5553.7
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
5551.0
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
5497.2
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
5313.7
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
5240.7
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
5211.4
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
5189.2
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
5187.1
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
5119.3
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
5109.7
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
5105.9
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
5074.8
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
5072.1
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
5018.2
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
4988.2
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
4878.8
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
4864.8
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
4862.3
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
4856.2
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
4852.5
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
4780.4
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
4749.4
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
4686.3
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
4641.5
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
4640.4
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
4556.2
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
4514.8
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
4499.3
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
4456.7
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
4454.1
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
4413.5
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
4408.4
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
4397.4
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
4365.5
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
4331.3
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
4249.4
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
4226.3
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
4225.8
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
4179.5
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
4139.7
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
4106.6
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
4090.7
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
4077.8
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
3927.6
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
3896.1
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
3845.3
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
3827.8
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
3808.8
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
3803.9
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
3774.8
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
3773.7
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
3773.2
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
3714.4
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
3694.8
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
3643.3
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
3595.6
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
3574.8
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
3565.3
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
3562.4
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
3515.6
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
3494.8
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
3480.1
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
3467.9
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
3449.7
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
3441.6
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
3431.5
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
3430.2
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
3408.7
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
3396.5
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
3363.7
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
3354.9
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
3342.9
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
3323.8
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
3274.8
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
3256.8
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
3249.1
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
3220.6
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
3218.3
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
3136.1
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
3127.6
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
3126.1
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
3116.6
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
3058.2
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
3035.8
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
2953.1
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
2933.5
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
2926.2
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
2868.5
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
2864.4
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
2817.3
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
2788.9
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
2755.7
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
2748.6
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
2725.8
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
2663.2
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
2652.0
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
2623.6
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
2611.3
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
2540.3
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
2490.7
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
2489.9
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
2480.8
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
2281.6
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
2278.1
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
2266.3
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
1978.3
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
1890.9
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
1887.8
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
1881.2
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
1845.6
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
1779.3
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
1769.5
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
1735.6
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
1392.5
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
1279.9
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
1209.3
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
1193.8
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
1075.0
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
984.8
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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.