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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.
SPINK1 is not prognostic in Pancreatic Adenocarcinoma (TCGA)
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 average 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 TPM
3123.4
Number of samples
176
Samples
Sample
Description
TPM
TCGA-2J-AABV-01A
0 years, male, white, stage:Stage IIB, dead, 652 days
22387.4
TCGA-HZ-8317-01A
0 years, female, white, stage:Stage IIB, dead, 378 days
19691.3
TCGA-LB-A9Q5-01A
0 years, female, white, stage:Stage IIB, dead, 313 days
18532.4
TCGA-F2-6880-01A
0 years, male, white, stage:Stage IIB, alive, 295 days
15767.3
TCGA-IB-8126-01A
0 years, female, white, stage:Stage III, alive, 462 days
14178.8
TCGA-3A-A9IN-01A
0 years, female, white, stage:Stage IB, alive, 2084 days
13920.4
TCGA-LB-A8F3-01A
0 years, female, black or african american, stage:Stage IIA, alive, 379 days
13088.3
TCGA-IB-A6UG-01A
0 years, male, white, stage:Stage IIB, dead, 41 days
11567.0
TCGA-3A-A9I9-01A
0 years, male, white, stage:Stage IIA, dead, 634 days
10683.1
TCGA-IB-7889-01A
0 years, female, white, stage:Stage IIB, dead, 481 days
10173.0
TCGA-3A-A9IV-01A
0 years, female, white, stage:Stage IB, alive, 1103 days
9790.2
TCGA-HZ-A77O-01A
0 years, female, white, stage:Stage IIB, dead, 160 days
9599.4
TCGA-HZ-8003-01A
0 years, female, white, stage:Stage IIB, dead, 596 days
9583.2
TCGA-FB-AAPY-01A
0 years, male, white, stage:Stage IIB, dead, 1059 days
8960.9
TCGA-Q3-AA2A-01A
0 years, female, white, stage:Stage IB, alive, 95 days
8711.8
TCGA-IB-AAUM-01A
0 years, male, white, stage:Stage IIB, alive, 8 days
8536.9
TCGA-2J-AAB9-01A
0 years, female, white, stage:Stage IIB, dead, 627 days
8508.4
TCGA-3A-A9IX-01A
0 years, male, white, stage:Stage IA, alive, 1037 days
7949.9
TCGA-HZ-7918-01A
0 years, male, white, stage:Stage IIB, alive, 969 days
7809.7
TCGA-F2-A7TX-01A
0 years, male, white, stage:Stage IIB, dead, 95 days
7610.6
TCGA-RL-AAAS-01A
0 years, female, white, stage:Stage IB, alive, 9 days
7568.1
TCGA-IB-AAUW-01A
0 years, female, white, stage:Stage IIB, dead, 230 days
7294.5
TCGA-F2-A44H-01A
0 years, male, white, stage:Stage IIA, alive, 586 days
6588.3
TCGA-HZ-A49H-01A
0 years, female, white, stage:Stage IIB, alive, 491 days
6369.8
TCGA-FB-AAQ3-01A
0 years, female, white, stage:Stage IIB, dead, 31 days
6366.7
TCGA-FB-A4P6-01A
0 years, male, white, stage:Stage IIB, alive, 767 days
6288.0
TCGA-US-A77G-01A
0 years, male, white, stage:Stage IIB, dead, 12 days
6194.4
TCGA-US-A77E-01A
0 years, male, white, stage:Stage IIB, dead, 430 days
6008.9
TCGA-US-A776-01A
0 years, male, white, stage:Stage IIA, alive, 1216 days
5664.5
TCGA-IB-7891-01A
0 years, female, white, stage:Stage IIB, dead, 913 days
5555.3
TCGA-IB-AAUT-01A
0 years, male, white, stage:Stage IIB, alive, 287 days
5378.7
TCGA-2L-AAQJ-01A
0 years, female, white, stage:Stage III, dead, 394 days
5179.2
TCGA-RB-A7B8-01A
0 years, female, white, stage:Stage IIB, dead, 466 days
5131.5
TCGA-FB-A78T-01A
0 years, female, white, stage:Stage IIB, dead, 375 days
5082.6
TCGA-IB-AAUN-01A
0 years, female, white, stage:Stage IB, dead, 144 days
5050.3
TCGA-HZ-A4BK-01A
0 years, male, white, stage:Stage IIB, alive, 657 days
4953.1
TCGA-HZ-8638-01A
0 years, female, white, stage:Stage IA, dead, 151 days
4905.0
TCGA-IB-7649-01A
0 years, female, stage:Stage IIB, dead, 467 days
4893.5
TCGA-3E-AAAY-01A
0 years, male, white, stage:Stage IIB, alive, 2285 days
4829.0
TCGA-H8-A6C1-01A
0 years, male, white, stage:Stage IIA, alive, 671 days
4747.8
TCGA-F2-7273-01A
0 years, male, black or african american, stage:Stage IIB, dead, 592 days
4691.4
TCGA-IB-7654-01A
0 years, male, white, stage:Stage IIB, dead, 476 days
4522.5
TCGA-2J-AABR-01A
0 years, female, white, stage:Stage IIA, alive, 438 days
4373.2
TCGA-US-A774-01A
0 years, female, white, stage:Stage IIB, dead, 695 days
4109.5
TCGA-S4-A8RP-01A
0 years, female, white, stage:Stage IIB, dead, 702 days
4076.0
TCGA-IB-7644-01A
0 years, female, white, stage:Stage IV, dead, 394 days
4032.4
TCGA-M8-A5N4-01A
0 years, female, stage:Stage IIA, alive, 584 days
3705.9
TCGA-2J-AAB1-01A
0 years, male, white, stage:Stage IIB, dead, 66 days
3629.5
TCGA-IB-A5SP-01A
0 years, male, white, stage:Stage IIA, alive, 482 days
3582.1
TCGA-HZ-8002-01A
0 years, male, white, stage:Stage IIB, dead, 366 days
3568.6
TCGA-HZ-8315-01A
0 years, female, white, stage:Stage IIA, dead, 299 days
3555.7
TCGA-HZ-7922-01A
0 years, female, white, stage:Stage IIB, alive, 4 days
3462.3
TCGA-3A-A9IZ-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
3410.6
TCGA-3A-A9IU-01A
0 years, male, white, stage:Stage IIB, dead, 458 days
3372.5
TCGA-HV-A7OL-01A
0 years, male, asian, stage:Stage IIA, alive, 252 days
3353.1
TCGA-RB-AA9M-01A
0 years, male, white, stage:Stage IIB, alive, 286 days
3324.9
TCGA-F2-7276-01A
0 years, male, white, stage:Stage IIB, dead, 216 days
3322.2
TCGA-HZ-A49G-01A
0 years, female, white, stage:Stage IIB, alive, 660 days
3246.6
TCGA-2L-AAQL-01A
0 years, male, white, stage:Stage IIB, dead, 292 days
3011.5
TCGA-F2-A44G-01A
0 years, female, white, stage:Stage IIB, dead, 233 days
2877.5
TCGA-FB-AAQ6-01A
0 years, male, white, stage:Stage IA, dead, 244 days
2771.4
TCGA-XD-AAUL-01A
0 years, male, white, stage:Stage IIA, alive, 498 days
2752.8
TCGA-OE-A75W-01A
0 years, male, white, stage:Stage IIA, dead, 267 days
2749.5
TCGA-HV-A5A6-01A
0 years, female, asian, stage:Stage IIB, dead, 2036 days
2713.5
TCGA-FB-AAQ0-01A
0 years, male, white, stage:Stage IIA, dead, 473 days
2653.9
TCGA-HZ-7923-01A
0 years, male, white, stage:Stage IIA, alive, 314 days
2595.4
TCGA-HZ-7289-01A
0 years, male, white, stage:Stage IIB, dead, 661 days
2545.5
TCGA-YY-A8LH-01A
0 years, female, white, stage:Stage IIB, alive, 2016 days
2544.8
TCGA-XN-A8T3-01A
0 years, male, white, stage:Stage IB, alive, 951 days
2446.4
TCGA-2J-AABF-01A
0 years, male, white, stage:Stage IIB, dead, 691 days
2406.6
TCGA-2J-AABO-01A
0 years, male, white, stage:Stage IIB, alive, 440 days
2394.9
TCGA-2L-AAQI-01A
0 years, male, white, stage:Stage IIB, dead, 103 days
2389.7
TCGA-IB-7652-01A
0 years, female, asian, stage:Stage IIB, alive, 1116 days
2257.8
TCGA-IB-AAUO-01A
0 years, female, white, stage:Stage IIB, dead, 239 days
2176.1
TCGA-HZ-7924-01A
0 years, female, white, stage:Stage IIA, alive, 840 days
2168.0
TCGA-US-A779-01A
0 years, female, white, stage:Stage IIB, dead, 511 days
2151.3
TCGA-2L-AAQA-01A
0 years, male, white, stage:Stage IIB, dead, 143 days
2140.7
TCGA-2J-AABK-01A
0 years, male, white, stage:Stage IIB, alive, 484 days
2020.5
TCGA-FB-AAPU-01A
0 years, female, asian, stage:Stage IIA, dead, 381 days
1976.4
TCGA-FB-AAPZ-01A
0 years, male, white, stage:Stage IIB, alive, 716 days
1922.5
TCGA-HV-A5A5-01A
0 years, female, asian, stage:Stage IIB, alive, 289 days
1922.0
TCGA-2J-AABH-01A
0 years, male, white, stage:Stage IIA, alive, 1287 days
1888.4
TCGA-IB-AAUU-01A
0 years, male, white, stage:Stage IIB, alive, 245 days
1876.4
TCGA-IB-8127-01A
0 years, male, white, stage:Stage IIB, alive, 522 days
1876.2
TCGA-3A-A9I5-01A
0 years, male, white, stage:'--, alive, 1794 days
1842.6
TCGA-PZ-A5RE-01A
0 years, female, white, stage:Stage IIB, dead, 470 days
1842.0
TCGA-US-A77J-01A
0 years, female, white, stage:Stage IIB, dead, 568 days
1837.7
TCGA-2J-AABA-01A
0 years, male, white, stage:Stage IIB, dead, 607 days
1806.7
TCGA-HZ-A8P1-01A
0 years, male, white, stage:Stage IB, alive, 7 days
1805.4
TCGA-2L-AAQM-01A
0 years, male, white, stage:Stage IIB, alive, 1383 days
1750.7
TCGA-S4-A8RM-01A
0 years, male, white, stage:Stage IIB, alive, 737 days
1730.7
TCGA-IB-A6UF-01A
0 years, male, white, stage:Stage IIB, alive, 666 days
1702.1
TCGA-3A-A9IL-01A
0 years, female, white, stage:Stage I, alive, 2741 days
1653.7
TCGA-FB-AAPP-01A
0 years, male, white, stage:Stage IIB, dead, 485 days
1631.0
TCGA-IB-7887-01A
0 years, female, white, stage:Stage IIB, dead, 110 days
1606.3
TCGA-HZ-7919-01A
0 years, female, white, stage:Stage IIB, dead, 593 days
1512.0
TCGA-3A-A9IB-01A
0 years, female, white, stage:Stage IIB, dead, 224 days
1478.7
TCGA-FB-AAQ1-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
1472.7
TCGA-HZ-A49I-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
1466.7
TCGA-HZ-A77Q-01A
0 years, female, white, stage:Stage IIB, alive, 33 days
1459.5
TCGA-IB-A5SO-01A
0 years, male, white, stage:Stage IIB, dead, 365 days
1443.8
TCGA-HZ-A9TJ-01A
0 years, male, white, stage:Stage IV, alive, 603 days
1439.2
TCGA-IB-7651-01A
0 years, female, white, stage:Stage IIB, dead, 603 days
1400.9
TCGA-XD-AAUG-01A
0 years, female, white, stage:Stage IV, alive, 420 days
1378.7
TCGA-FB-AAPQ-01A
0 years, male, white, stage:Stage IIB, dead, 1130 days
1266.9
TCGA-HZ-7926-01A
0 years, male, black or african american, stage:Stage IIB, dead, 518 days
1266.0
TCGA-FB-A4P5-01A
0 years, female, white, stage:Stage IIB, dead, 179 days
1246.6
TCGA-2L-AAQE-01A
0 years, male, white, stage:Stage IIB, dead, 684 days
1182.3
TCGA-YB-A89D-01A
0 years, male, white, stage:Stage IIB, alive, 350 days
1159.9
TCGA-IB-7885-01A
0 years, female, white, stage:Stage IIB, alive, 1257 days
1124.4
TCGA-FB-A7DR-01A
0 years, male, asian, stage:Stage IIA, dead, 353 days
1112.0
TCGA-HZ-A77P-01A
0 years, male, white, stage:Stage IIB, alive, 330 days
1085.0
TCGA-FB-A545-01A
0 years, female, white, stage:Stage IIB, dead, 732 days
1078.1
TCGA-XD-AAUI-01A
0 years, female, white, stage:Stage IIB, dead, 366 days
1076.6
TCGA-IB-7888-01A
0 years, female, black or african american, stage:Stage IIA, dead, 1332 days
1007.6
TCGA-2J-AABE-01A
0 years, male, white, stage:Stage IIA, alive, 676 days
987.9
TCGA-2J-AAB4-01A
0 years, male, white, stage:Stage IIB, alive, 729 days
961.8
TCGA-XD-AAUH-01A
0 years, female, white, stage:Stage IIB, alive, 395 days
960.0
TCGA-H6-A45N-01A
0 years, female, white, stage:Stage IIB, dead, 397 days
869.8
TCGA-2J-AAB8-01A
0 years, male, white, stage:Stage IIB, alive, 80 days
869.6
TCGA-3A-A9IC-01A
0 years, female, white, stage:Stage IIB, dead, 738 days
867.6
TCGA-F2-6879-01A
0 years, male, white, stage:Stage IIB, dead, 334 days
858.1
TCGA-3E-AAAZ-01A
0 years, male, white, stage:Stage IIA, dead, 2182 days
856.0
TCGA-IB-AAUS-01A
0 years, female, white, stage:Stage IIB, alive, 225 days
855.1
TCGA-H6-8124-01A
0 years, female, white, stage:Stage IIB, alive, 392 days
841.8
TCGA-HV-A5A3-01A
0 years, male, asian, stage:Stage IIA, dead, 128 days
835.9
TCGA-Z5-AAPL-01A
0 years, female, white, stage:Stage IIA, alive, 467 days
762.4
TCGA-IB-7645-01A
0 years, female, stage:Stage IIB, dead, 1502 days
744.1
TCGA-HZ-8637-01A
0 years, female, white, stage:Stage IIB, dead, 517 days
682.8
TCGA-3A-A9IH-01A
0 years, female, white, stage:Stage IA, alive, 1021 days
666.3
TCGA-IB-A5ST-01A
0 years, female, white, stage:Stage IIB, alive, 635 days
645.5
TCGA-IB-AAUQ-01A
0 years, male, white, stage:Stage IIB, dead, 183 days
620.8
TCGA-S4-A8RO-01A
0 years, female, white, stage:Stage IIB, alive, 525 days
616.1
TCGA-HZ-8636-01A
0 years, female, white, stage:Stage IV, dead, 545 days
612.6
TCGA-HV-A5A4-01A
0 years, female, asian, stage:Stage IIA, alive, 232 days
611.9
TCGA-3A-A9I7-01A
0 years, male, black or african american, stage:Stage IIB, alive, 1323 days
610.7
TCGA-FB-AAPS-01A
0 years, female, white, stage:Stage IIB, alive, 228 days
578.0
TCGA-HZ-7920-01A
0 years, male, white, stage:Stage IB, dead, 236 days
563.1
TCGA-HV-AA8X-01A
0 years, female, asian, stage:Stage IIB, dead, 532 days
535.1
TCGA-Q3-A5QY-01A
0 years, male, white, stage:Stage IIB, alive, 416 days
534.0
TCGA-F2-A8YN-01A
0 years, male, white, stage:Stage IIA, alive, 517 days
470.8
TCGA-HZ-8001-01A
0 years, male, white, stage:Stage III, alive, 706 days
460.9
TCGA-IB-7886-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
437.1
TCGA-3A-A9IO-01A
0 years, male, white, stage:'--, alive, 1942 days
369.4
TCGA-IB-7646-01A
0 years, male, white, stage:Stage IIB, dead, 145 days
367.1
TCGA-HZ-7925-01A
0 years, male, white, stage:Stage IIB, dead, 614 days
362.9
TCGA-HV-AA8V-01A
0 years, male, asian, stage:Stage IIB, alive, 920 days
352.0
TCGA-IB-7893-01A
0 years, male, white, stage:Stage IIA, dead, 117 days
337.1
TCGA-IB-A7LX-01A
0 years, male, white, stage:Stage IIB, dead, 250 days
317.9
TCGA-HZ-8005-01A
0 years, male, white, stage:Stage IIB, dead, 120 days
300.1
TCGA-2J-AABU-01A
0 years, male, white, stage:Stage IIB, dead, 277 days
288.4
TCGA-LB-A7SX-01A
0 years, female, black or african american, stage:Stage IIB, dead, 393 days
275.0
TCGA-HZ-8519-01A
0 years, male, white, stage:Stage IA, alive, 454 days
271.6
TCGA-IB-AAUV-01A
0 years, male, white, stage:Stage IIB, alive, 404 days
256.8
TCGA-IB-7897-01A
0 years, female, white, stage:Stage IIB, dead, 486 days
244.3
TCGA-IB-AAUR-01A
0 years, male, white, stage:Stage IIB, alive, 338 days
236.3
TCGA-2J-AABT-01A
0 years, female, white, stage:Stage IIB, alive, 319 days
167.3
TCGA-IB-7890-01A
0 years, male, stage:Stage IB, dead, 598 days
128.9
TCGA-IB-A7M4-01A
0 years, male, white, stage:Stage IIB, alive, 483 days
119.4
TCGA-IB-A5SQ-01A
0 years, female, white, stage:Stage IB, dead, 219 days
116.7
TCGA-2J-AAB6-01A
0 years, male, white, stage:Stage IIA, dead, 293 days
116.7
TCGA-XN-A8T5-01A
0 years, female, white, stage:Stage IB, alive, 720 days
94.5
TCGA-IB-A5SS-01A
0 years, female, white, stage:Stage IIB, dead, 460 days
94.4
TCGA-HZ-A4BH-01A
0 years, male, white, stage:Stage IIB, alive, 194 days
91.4
TCGA-YH-A8SY-01A
0 years, female, white, stage:'--, alive, 388 days
88.9
TCGA-3A-A9IS-01A
0 years, male, white, stage:Stage IB, alive, 998 days
63.5
TCGA-IB-AAUP-01A
0 years, male, white, stage:Stage IIB, alive, 431 days
54.7
TCGA-2J-AABI-01A
0 years, female, white, stage:Stage IIA, alive, 969 days
34.6
TCGA-3A-A9J0-01A
0 years, male, white, stage:Stage IIB, alive, 743 days
34.1
TCGA-FB-AAQ2-01A
0 years, female, white, stage:Stage IIB, dead, 153 days
32.7
TCGA-FB-A5VM-01A
0 years, male, white, stage:Stage IB, dead, 498 days
17.6
TCGA-2J-AABP-01A
0 years, female, white, stage:Stage IIB, alive, 463 days
11.8
TCGA-L1-A7W4-01A
0 years, female, white, stage:Stage IIB, dead, 278 days
11.3
TCGA-HV-A7OP-01A
0 years, male, asian, stage:Stage IIB, alive, 978 days
6.3
TCGA-3A-A9IJ-01A
0 years, male, white, stage:Stage IB, alive, 1854 days
4.2
TCGA-3A-A9IR-01A
0 years, female, white, stage:Stage IB, alive, 1542 days
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.
SPINK1 is potential prognostic, high expression is favorable in Pancreatic Adenocarcinoma (validation)
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 average 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 TPM
434.4
Number of samples
80
Samples
Sample
Description
TPM
DO49076
0 years, male, NA, stage:, dead, 480 days
5303.9
DO34961
0 years, male, NA, stage:, dead, 632 days
2125.9
DO34288
0 years, female, NA, stage:, dead, 220 days
1331.7
DO32829
0 years, female, NA, stage:T2N0MX, dead, 1874 days
1273.1
DO49166
0 years, female, NA, stage:, alive, 222 days
1160.7
DO33376
0 years, female, NA, stage:, alive, 909 days
1087.3
DO49090
0 years, female, NA, stage:, dead, 152 days
946.2
DO49138
0 years, male, NA, stage:, dead, 230 days
941.3
DO33488
0 years, male, NA, stage:, alive, 844 days
882.1
DO49193
0 years, male, NA, stage:, dead, 1 days
820.8
DO49129
0 years, male, NA, stage:, alive, 337 days
774.7
DO33392
0 years, male, NA, stage:, alive, 1014 days
716.1
DO49185
0 years, male, NA, stage:, alive, 179 days
694.1
DO34608
0 years, female, NA, stage:, dead, 709 days
682.1
DO33400
0 years, female, NA, stage:, alive, 1043 days
681.6
DO34504
0 years, male, NA, stage:, dead, 257 days
635.4
DO34905
0 years, male, NA, stage:, alive, 1142 days
627.8
DO33128
0 years, male, NA, stage:, dead, 423 days
602.1
DO34696
0 years, male, NA, stage:, alive, 689 days
591.3
DO34264
0 years, female, NA, stage:, dead, 1144 days
565.1
DO34720
0 years, male, NA, stage:, alive, 555 days
514.0
DO49178
0 years, male, NA, stage:, dead, 27 days
486.7
DO49137
0 years, female, NA, stage:, alive, 232 days
480.2
DO34817
0 years, female, NA, stage:, alive, 540 days
461.6
DO33600
0 years, female, NA, stage:, alive, 854 days
442.5
DO32900
0 years, male, NA, stage:, dead, 768 days
438.5
DO49164
0 years, male, NA, stage:, alive, 272 days
437.0
DO34785
0 years, female, NA, stage:, alive, 721 days
410.7
DO33344
0 years, male, NA, stage:, dead, 361 days
405.2
DO33408
0 years, female, NA, stage:, alive, 909 days
397.8
DO32863
0 years, male, NA, stage:, dead, 715 days
388.5
DO33984
0 years, male, NA, stage:, alive, 847 days
386.0
DO49135
0 years, male, NA, stage:, alive, 270 days
385.2
DO32875
0 years, male, NA, stage:, dead, 348 days
364.7
DO49127
0 years, female, NA, stage:, alive, 392 days
358.8
DO49172
0 years, female, NA, stage:, dead, 1021 days
348.9
DO34448
0 years, female, NA, stage:, dead, 719 days
323.3
DO32860
0 years, male, NA, stage:, dead, 1259 days
311.7
DO34801
0 years, male, NA, stage:, alive, 626 days
308.9
DO49113
0 years, female, NA, stage:, alive, 413 days
305.4
DO33552
0 years, female, NA, stage:, alive, 873 days
302.5
DO34680
0 years, male, NA, stage:, dead, 99 days
295.6
DO49184
0 years, male, NA, stage:, dead, 455 days
279.5
DO32878
0 years, female, NA, stage:, dead, 260 days
250.8
DO49078
0 years, male, NA, stage:, dead, 465 days
233.3
DO34809
0 years, female, NA, stage:, dead, 297 days
204.1
DO33368
0 years, male, NA, stage:, dead, 98 days
196.9
DO34736
0 years, female, NA, stage:, dead, 203 days
193.1
DO34312
0 years, female, NA, stage:, dead, 226 days
188.1
DO34432
0 years, female, NA, stage:, dead, 400 days
170.9
DO34849
0 years, female, NA, stage:, dead, 272 days
170.9
DO49087
0 years, female, NA, stage:, dead, 260 days
166.1
DO49133
0 years, female, NA, stage:, alive, 188 days
144.8
DO34793
0 years, male, NA, stage:, dead, 427 days
133.8
DO34640
0 years, female, NA, stage:, dead, 287 days
126.0
DO33480
0 years, male, NA, stage:, alive, 1054 days
123.2
DO49130
0 years, female, NA, stage:, alive, 351 days
115.9
DO49198
0 years, female, NA, stage:, dead, 251 days
111.1
DO49199
0 years, male, NA, stage:, dead, 1095 days
108.6
DO34368
0 years, female, NA, stage:, dead, 537 days
97.2
DO49080
0 years, male, NA, stage:, alive, 83 days
97.0
DO33544
0 years, female, NA, stage:, dead, 412 days
81.4
DO34600
0 years, male, NA, stage:, dead, 537 days
69.6
DO49181
0 years, male, NA, stage:, dead, 1534 days
67.3
DO49183
0 years, female, NA, stage:, dead, 429 days
63.2
DO49175
0 years, male, NA, stage:, dead, 414 days
59.0
DO34240
0 years, male, NA, stage:, dead, 236 days
50.7
DO33472
0 years, female, NA, stage:, dead, 388 days
50.0
DO34616
0 years, female, NA, stage:, alive, 666 days
34.8
DO33336
0 years, female, NA, stage:, dead, 451 days
34.4
DO34656
0 years, female, NA, stage:, alive, 834 days
34.2
DO33512
female, NA, stage:, dead, 499 days
29.2
DO49074
0 years, male, NA, stage:, dead, 168 days
22.4
DO33168
0 years, female, NA, stage:, dead, 8 days
18.6
DO49170
0 years, male, NA, stage:, alive, 197 days
18.5
DO49168
0 years, male, NA, stage:, alive, 149 days
7.5
DO49079
0 years, male, NA, stage:, dead, 332 days
3.7
DO34728
0 years, female, NA, stage:, alive, 508 days
2.9
DO49204
0 years, male, NA, stage:, dead, 156 days
0.8
DO34336
0 years, female, NA, stage:, alive, 743 days
0.0
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PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
235
Samples
Sample ID
Sample type
nRPX
CPT0239140004
Normal
3.0
C3L-00189-04
Normal
2.5
CPT0127290003
Normal
2.2
CPT0236800004
Normal
2.1
CPT0208850004
Normal
2.1
CPT0237850004
Normal
2.1
CPT0238640004
Normal
1.9
CPT0209650004
Normal
1.9
CPT0170260004
Normal
1.8
CPT0078180003
Normal
1.8
CPT0017130003
Normal
1.8
CPT0347820002
Normal
1.7
CPT0238740004
Normal
1.7
CPT0198930003
Normal
1.7
CPT0355190003
Normal
1.7
CPT0347880002
Normal
1.6
CPT0063580003
Normal
1.4
CPT0077810003
Normal
1.4
CPT0166780004
Normal
1.4
CPT0183770004
Normal
1.4
CPT0162780004
Normal
1.4
CPT0237920004
Normal
1.4
CPT0077950003
Normal
1.4
CPT0208710004
Normal
1.4
C3N-02573-03
Normal
1.3
C3N-00709-06
Normal
1.3
CPT0011540003
Normal
1.3
C3L-03632-04
Normal
1.3
CPT0123460003
Normal
1.1
CPT0347790002
Normal
1.1
CPT0238940004
Normal
1.1
CPT0239920004
Normal
1.1
CPT0347760002
Normal
1.1
CPT0347850002
Normal
1.0
CPT0089750004
Normal
1.0
CPT0248440003
Normal
1.0
CPT0123770003
Normal
1.0
CPT0187540004
Normal
1.0
CPT0123890003
Normal
1.0
CPT0276030003
Normal
0.9
CPT0246950003
Normal
0.8
CPT0247090003
Tumor
0.8
CPT0091680003
Normal
0.7
CPT0125010003
Normal
0.7
CPT0077880003
Normal
0.7
CPT0123670003
Normal
0.7
CPT0355200003
Normal
0.7
CPT0236710004
Normal
0.7
CPT0218220004
Normal
0.6
CPT0246220004
Normal
0.6
CPT0198440004
Normal
0.6
CPT0221250004
Normal
0.5
CPT0011520003
Tumor
0.4
CPT0241510004
Normal
0.4
CPT0236360004
Normal
0.3
CPT0124530003
Normal
0.3
CPT0086210003
Normal
0.3
CPT0238440005
Tumor
0.2
CPT0236560004
Tumor
0.1
CPT0123650003
Tumor
0.1
CPT0094030003
Tumor
0.1
CPT0001750003
Normal
0.1
CPT0077790004
Tumor
0.0
CPT0093860003
Tumor
0.0
CPT0093880003
Normal
0.0
CPT0241320005
Tumor
0.0
CPT0170240004
Tumor
-0.1
CPT0162670004
Normal
-0.1
CPT0248620003
Normal
-0.2
CPT0236700005
Tumor
-0.2
CPT0355180003
Normal
-0.2
CPT0124000003
Normal
-0.2
CPT0078160004
Tumor
-0.2
CPT0241500004
Tumor
-0.3
CPT0092630003
Tumor
-0.3
CPT0123750003
Tumor
-0.3
CPT0186040004
Tumor
-0.3
CPT0246810003
Tumor
-0.3
CPT0246210004
Tumor
-0.3
CPT0239100009
Tumor
-0.4
CPT0123860003
Tumor
-0.4
CPT0246840003
Tumor
-0.4
CPT0066020003
Normal
-0.4
CPT0094630004
Tumor
-0.4
CPT0183450005
Tumor
-0.5
CPT0276010003
Tumor
-0.5
CPT0025760003
Normal
-0.5
CPT0065640003
Tumor
-0.5
CPT0094180003
Tumor
-0.5
CPT0248590004
Tumor
-0.5
CPT0081260004
Tumor
-0.5
CPT0246940003
Tumor
-0.5
CPT0017040004
Tumor
-0.5
CPT0081470004
Tumor
-0.6
CPT0226530004
Tumor
-0.6
CPT0203850004
Tumor
-0.6
CPT0239910004
Tumor
-0.6
CPT0139000004
Tumor
-0.6
CPT0162660004
Tumor
-0.6
CPT0254680003
Tumor
-0.6
CPT0094130004
Tumor
-0.6
CPT0123440003
Tumor
-0.6
CPT0247040003
Tumor
-0.7
CPT0207990004
Normal
-0.7
CPT0207780004
Tumor
-0.7
CPT0086190004
Tumor
-0.7
CPT0108960003
Normal
-0.7
WU-PDA1
Tumor
-0.7
CPT0217700004
Tumor
-0.7
CPT0127270003
Tumor
-0.8
CPT0198700005
Tumor
-0.8
CPT0207980005
Tumor
-0.8
CPT0088320003
Tumor
-0.8
CPT0226570004
Tumor
-0.8
CPT0221470005
Tumor
-0.8
CPT0236780005
Tumor
-0.8
CPT0238820005
Tumor
-0.8
CPT0081360004
Tumor
-0.9
CPT0248410004
Tumor
-0.9
CPT0109300004
Tumor
-0.9
CPT0014040003
Tumor
-0.9
CPT0208690004
Tumor
-0.9
CPT0094740004
Tumor
-0.9
CPT0226650004
Tumor
-0.9
CPT0093930004
Tumor
-0.9
CPT0123990003
Tumor
-1.0
CPT0124410004
Tumor
-1.0
CPT0238920004
Tumor
-1.0
CPT0246260004
Tumor
-1.0
CPT0246720003
Tumor
-1.0
CPT0208550005
Tumor
-1.0
CPT0064110003
Normal
-1.0
CPT0208840004
Tumor
-1.0
CPT0093980004
Tumor
-1.0
CPT0237910004
Tumor
-1.0
CPT0185920004
Tumor
-1.1
CPT0124500004
Tumor
-1.1
CPT0063970004
Tumor
-1.1
CPT0226610004
Normal
-1.1
KoreanReference3
Tumor
-1.1
CPT0238040005
Tumor
-1.1
KoreanReference1
Tumor
-1.1
CPT0019300004
Tumor
-1.1
CPT0187550004
Tumor
-1.1
CPT0198420004
Tumor
-1.1
CPT0224460004
Tumor
-1.1
CPT0138990003
Normal
-1.2
CPT0094940004
Tumor
-1.2
CPT0162760003
Tumor
-1.2
CPT0237840004
Tumor
-1.2
CPT0209640005
Tumor
-1.2
CPT0247000003
Normal
-1.2
CPT0198910005
Tumor
-1.2
CPT0235230004
Tumor
-1.2
CPT0064090003
Tumor
-1.2
CPT0237270005
Tumor
-1.3
CPT0108930003
Tumor
-1.3
CPT0064520004
Tumor
-1.3
CPT0077860003
Tumor
-1.3
CPT0161990005
Tumor
-1.3
CPT0218200004
Tumor
-1.3
CPT0091660003
Tumor
-1.4
CPT0227930004
Tumor
-1.4
CPT0025750003
Tumor
-1.4
CPT0088180004
Tumor
-1.4
CPT0087890004
Tumor
-1.4
CPT0126160004
Tumor
-1.4
CPT0226760004
Tumor
-1.4
CPT0063570003
Tumor
-1.5
CPT0238710004
Tumor
-1.5
CPT0166760004
Tumor
-1.5
KoreanReference2
Tumor
-1.5
CPT0187930005
Tumor
-1.5
CPT0174700004
Tumor
-1.5
CPT0236340004
Tumor
-1.5
CPT0064570003
Normal
-1.5
CPT0000250017
Tumor
-1.5
CPT0197440004
Normal
-1.5
CPT0238610009
Tumor
-1.6
CPT0197420004
Tumor
-1.6
CPT0226600004
Tumor
-1.6
CPT0001730017
Tumor
-1.6
CPT0209310004
Tumor
-1.6
CPT0124980004
Tumor
-1.6
CPT0019410004
Tumor
-1.6
CPT0124360003
Tumor
-1.6
CPT0078090004
Tumor
-1.6
CPT0125130003
Tumor
-1.6
CPT0083270003
Tumor
-1.6
CPT0109200004
Tumor
-1.6
CPT0065570003
Tumor
-1.7
CPT0081060004
Tumor
-1.7
CPT0078250003
Tumor
-1.7
C3L-00401-04
Normal
-1.7
CPT0008750003
Tumor
-1.7
CPT0226490004
Tumor
-1.7
CPT0124610004
Tumor
-1.7
CPT0174800003
Normal
-1.7
CPT0246990003
Tumor
-1.7
CPT0089720003
Tumor
-1.8
CPT0094230004
Tumor
-1.8
CPT0077930004
Tumor
-1.8
CPT0221240004
Tumor
-1.8
CPT0088260004
Tumor
-1.8
CPT0125090003
Tumor
-1.8
CPT0008800003
Tumor
-1.8
CPT0183750005
Tumor
-1.8
CPT0108400003
Tumor
-1.9
CPT0078030003
Normal
-1.9
CPT0238530005
Tumor
-1.9
CPT0264150003
Tumor
-1.9
CPT0161770004
Tumor
-2.0
CPT0109010004
Tumor
-2.0
CPT0078000003
Tumor
-2.1
CPT0226680005
Tumor
-2.5
CPT0247050003
Normal
N/A
CPT0108410003
Normal
N/A
CPT0248320003
Normal
N/A
CPT0166650006
Tumor
N/A
CPT0224470004
Normal
N/A
C3L-01687-04
Normal
N/A
CPT0138890003
Normal
N/A
CPT0109110004
Tumor
N/A
WU-pooled sample
Tumor
N/A
CPT0014060003
Normal
N/A
CPT0109130003
Normal
N/A
CPT0138900004
Tumor
N/A
CPT0166680004
Normal
N/A
CPT0094760003
Normal
N/A
CPT0186050004
Normal
N/A
CPT0237290004
Normal
N/A
CPT0264180003
Normal
N/A
CPT0063990003
Normal
N/A
CPT0126200003
Normal
N/A
CPT0198730004
Normal
N/A
Show allShow less
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, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
