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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).
MT-CO2 is prognostic, high expression is favourable in pancreatic cancer
Stage:
Survival analysis
Current cut off: Best expression cut offi
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.
: 6741.13
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
7362.1
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
25072.8
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
21327.3
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
21107.0
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
18442.8
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
18441.3
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
17841.9
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
17488.6
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
16614.6
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
16460.6
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
16185.8
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
15637.9
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
15480.5
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
15394.4
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
15029.7
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
14737.1
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
14636.4
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
14375.6
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
14054.1
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
13660.6
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
12995.6
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
12842.2
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
12835.3
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
12248.6
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
12226.4
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
11978.9
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
11957.5
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
11671.4
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
11621.2
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
11493.2
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
11430.5
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
11316.7
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
10412.6
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
10173.9
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
10167.1
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
9949.1
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
9787.7
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
9685.8
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
9453.1
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
9353.6
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
9322.3
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
9275.7
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
9139.1
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
8912.2
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
8831.9
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
8800.5
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
8729.9
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
8728.2
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
8633.9
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
8531.7
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
8436.4
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
8415.0
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
8398.2
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
8318.0
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
8241.0
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
8094.4
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
8011.8
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
7990.4
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
7978.3
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
7928.9
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
7828.1
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
7798.9
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
7703.7
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
7648.9
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
7611.1
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
7583.7
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
7562.8
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
7407.6
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
7269.8
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
7239.7
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
7098.1
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
6997.1
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
6963.1
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
6934.3
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
6894.9
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
6892.4
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
6832.6
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
6759.5
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
6748.6
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
6733.7
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
6693.5
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
6671.8
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
6660.2
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
6467.5
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
6402.6
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
6367.0
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
6279.4
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
6221.0
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
6174.0
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
6132.6
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
6112.6
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
6031.3
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
5936.4
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
5867.5
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
5843.3
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
5840.2
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
5780.8
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
5759.8
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
5725.4
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
5708.7
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
5680.7
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
5679.2
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
5678.1
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
5536.1
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
5525.4
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
5522.6
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
5505.9
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
5495.1
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
5446.5
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
5438.4
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
5435.5
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
5433.4
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
5408.5
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
5403.7
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
5275.5
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
5243.4
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
5207.9
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
5100.7
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
5084.9
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
5008.9
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
4976.8
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
4826.7
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
4764.5
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
4763.4
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
4733.2
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
4700.0
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
4662.1
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
4565.0
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
4557.5
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
4557.2
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
4489.1
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
4486.2
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
4475.6
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
4467.1
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
4432.0
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
4398.2
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
4376.7
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
4339.6
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
4286.4
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
4267.2
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
4266.4
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
4164.1
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
4060.8
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
3975.3
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
3963.2
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
3958.9
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
3930.8
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
3924.3
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
3917.9
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
3857.2
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
3843.1
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
3841.2
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
3811.3
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
3634.3
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
3472.3
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
3361.2
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
3261.6
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
3195.1
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
3109.8
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
3109.2
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
3039.3
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
2810.6
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
2754.7
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
2753.5
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
2747.2
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
2678.4
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
2321.5
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
2319.3
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
2275.3
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
2236.5
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
2114.4
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
2019.8
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
1957.1
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
1887.5
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
1771.7
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
1371.5
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
1293.9
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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