We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
IGFBP7 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
637.7
Number of samples
176
Samples
Sample
Description
TPM
TCGA-XD-AAUG-01A
0 years, female, white, stage:Stage IV, alive, 420 days
2013.3
TCGA-FB-AAPS-01A
0 years, female, white, stage:Stage IIB, alive, 228 days
1803.7
TCGA-HZ-A77Q-01A
0 years, female, white, stage:Stage IIB, alive, 33 days
1629.5
TCGA-IB-AAUV-01A
0 years, male, white, stage:Stage IIB, alive, 404 days
1539.5
TCGA-YB-A89D-01A
0 years, male, white, stage:Stage IIB, alive, 350 days
1443.7
TCGA-IB-A5SQ-01A
0 years, female, white, stage:Stage IB, dead, 219 days
1291.0
TCGA-XN-A8T5-01A
0 years, female, white, stage:Stage IB, alive, 720 days
1276.4
TCGA-FB-A7DR-01A
0 years, male, asian, stage:Stage IIA, dead, 353 days
1264.8
TCGA-HV-A5A4-01A
0 years, female, asian, stage:Stage IIA, alive, 232 days
1257.3
TCGA-HV-AA8V-01A
0 years, male, asian, stage:Stage IIB, alive, 920 days
1239.5
TCGA-HZ-8636-01A
0 years, female, white, stage:Stage IV, dead, 545 days
1212.3
TCGA-IB-AAUS-01A
0 years, female, white, stage:Stage IIB, alive, 225 days
1137.9
TCGA-IB-8127-01A
0 years, male, white, stage:Stage IIB, alive, 522 days
1119.0
TCGA-IB-A5ST-01A
0 years, female, white, stage:Stage IIB, alive, 635 days
1088.4
TCGA-2L-AAQL-01A
0 years, male, white, stage:Stage IIB, dead, 292 days
1082.6
TCGA-S4-A8RP-01A
0 years, female, white, stage:Stage IIB, dead, 702 days
1073.7
TCGA-RL-AAAS-01A
0 years, female, white, stage:Stage IB, alive, 9 days
1072.3
TCGA-IB-A5SO-01A
0 years, male, white, stage:Stage IIB, dead, 365 days
1061.1
TCGA-3E-AAAY-01A
0 years, male, white, stage:Stage IIB, alive, 2285 days
1055.3
TCGA-H6-A45N-01A
0 years, female, white, stage:Stage IIB, dead, 397 days
1042.5
TCGA-HZ-8519-01A
0 years, male, white, stage:Stage IA, alive, 454 days
1019.7
TCGA-US-A77E-01A
0 years, male, white, stage:Stage IIB, dead, 430 days
1016.1
TCGA-2J-AABF-01A
0 years, male, white, stage:Stage IIB, dead, 691 days
1002.8
TCGA-XD-AAUL-01A
0 years, male, white, stage:Stage IIA, alive, 498 days
993.2
TCGA-HZ-7925-01A
0 years, male, white, stage:Stage IIB, dead, 614 days
992.2
TCGA-2J-AABR-01A
0 years, female, white, stage:Stage IIA, alive, 438 days
986.0
TCGA-IB-AAUR-01A
0 years, male, white, stage:Stage IIB, alive, 338 days
983.4
TCGA-2J-AABE-01A
0 years, male, white, stage:Stage IIA, alive, 676 days
976.2
TCGA-HZ-A49I-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
973.2
TCGA-RB-AA9M-01A
0 years, male, white, stage:Stage IIB, alive, 286 days
970.3
TCGA-XN-A8T3-01A
0 years, male, white, stage:Stage IB, alive, 951 days
966.0
TCGA-2J-AAB9-01A
0 years, female, white, stage:Stage IIB, dead, 627 days
958.1
TCGA-IB-AAUQ-01A
0 years, male, white, stage:Stage IIB, dead, 183 days
928.5
TCGA-IB-A5SS-01A
0 years, female, white, stage:Stage IIB, dead, 460 days
924.0
TCGA-F2-7273-01A
0 years, male, black or african american, stage:Stage IIB, dead, 592 days
906.1
TCGA-IB-AAUT-01A
0 years, male, white, stage:Stage IIB, alive, 287 days
905.5
TCGA-RB-A7B8-01A
0 years, female, white, stage:Stage IIB, dead, 466 days
888.3
TCGA-HZ-A4BH-01A
0 years, male, white, stage:Stage IIB, alive, 194 days
883.4
TCGA-2J-AABT-01A
0 years, female, white, stage:Stage IIB, alive, 319 days
862.5
TCGA-2J-AABA-01A
0 years, male, white, stage:Stage IIB, dead, 607 days
848.2
TCGA-IB-7888-01A
0 years, female, black or african american, stage:Stage IIA, dead, 1332 days
848.0
TCGA-FB-A4P5-01A
0 years, female, white, stage:Stage IIB, dead, 179 days
847.1
TCGA-HZ-A77P-01A
0 years, male, white, stage:Stage IIB, alive, 330 days
844.9
TCGA-IB-AAUP-01A
0 years, male, white, stage:Stage IIB, alive, 431 days
841.3
TCGA-3A-A9IC-01A
0 years, female, white, stage:Stage IIB, dead, 738 days
815.7
TCGA-2L-AAQJ-01A
0 years, female, white, stage:Stage III, dead, 394 days
799.5
TCGA-FB-A4P6-01A
0 years, male, white, stage:Stage IIB, alive, 767 days
795.3
TCGA-HZ-8002-01A
0 years, male, white, stage:Stage IIB, dead, 366 days
785.0
TCGA-IB-7652-01A
0 years, female, asian, stage:Stage IIB, alive, 1116 days
777.3
TCGA-2J-AABP-01A
0 years, female, white, stage:Stage IIB, alive, 463 days
766.6
TCGA-2J-AAB4-01A
0 years, male, white, stage:Stage IIB, alive, 729 days
763.4
TCGA-3A-A9IX-01A
0 years, male, white, stage:Stage IA, alive, 1037 days
763.3
TCGA-IB-AAUW-01A
0 years, female, white, stage:Stage IIB, dead, 230 days
756.6
TCGA-F2-A44H-01A
0 years, male, white, stage:Stage IIA, alive, 586 days
753.1
TCGA-2J-AAB1-01A
0 years, male, white, stage:Stage IIB, dead, 66 days
744.4
TCGA-3A-A9IN-01A
0 years, female, white, stage:Stage IB, alive, 2084 days
741.9
TCGA-HZ-A49G-01A
0 years, female, white, stage:Stage IIB, alive, 660 days
738.4
TCGA-HZ-A49H-01A
0 years, female, white, stage:Stage IIB, alive, 491 days
729.8
TCGA-HZ-A4BK-01A
0 years, male, white, stage:Stage IIB, alive, 657 days
725.8
TCGA-IB-7645-01A
0 years, female, stage:Stage IIB, dead, 1502 days
708.9
TCGA-3A-A9IB-01A
0 years, female, white, stage:Stage IIB, dead, 224 days
699.7
TCGA-H8-A6C1-01A
0 years, male, white, stage:Stage IIA, alive, 671 days
695.4
TCGA-HZ-7923-01A
0 years, male, white, stage:Stage IIA, alive, 314 days
686.0
TCGA-F2-A8YN-01A
0 years, male, white, stage:Stage IIA, alive, 517 days
685.2
TCGA-3A-A9I7-01A
0 years, male, black or african american, stage:Stage IIB, alive, 1323 days
683.6
TCGA-HZ-8315-01A
0 years, female, white, stage:Stage IIA, dead, 299 days
681.3
TCGA-IB-7897-01A
0 years, female, white, stage:Stage IIB, dead, 486 days
658.2
TCGA-Q3-A5QY-01A
0 years, male, white, stage:Stage IIB, alive, 416 days
655.9
TCGA-F2-7276-01A
0 years, male, white, stage:Stage IIB, dead, 216 days
653.2
TCGA-IB-7649-01A
0 years, female, stage:Stage IIB, dead, 467 days
653.2
TCGA-IB-7890-01A
0 years, male, stage:Stage IB, dead, 598 days
648.8
TCGA-IB-7893-01A
0 years, male, white, stage:Stage IIA, dead, 117 days
643.7
TCGA-S4-A8RO-01A
0 years, female, white, stage:Stage IIB, alive, 525 days
639.8
TCGA-2L-AAQI-01A
0 years, male, white, stage:Stage IIB, dead, 103 days
635.9
TCGA-US-A774-01A
0 years, female, white, stage:Stage IIB, dead, 695 days
627.6
TCGA-US-A77J-01A
0 years, female, white, stage:Stage IIB, dead, 568 days
626.0
TCGA-IB-AAUU-01A
0 years, male, white, stage:Stage IIB, alive, 245 days
625.6
TCGA-3A-A9IH-01A
0 years, female, white, stage:Stage IA, alive, 1021 days
625.4
TCGA-2J-AAB8-01A
0 years, male, white, stage:Stage IIB, alive, 80 days
623.5
TCGA-HV-AA8X-01A
0 years, female, asian, stage:Stage IIB, dead, 532 days
621.4
TCGA-HZ-7922-01A
0 years, female, white, stage:Stage IIB, alive, 4 days
617.9
TCGA-3A-A9J0-01A
0 years, male, white, stage:Stage IIB, alive, 743 days
616.1
TCGA-HZ-8001-01A
0 years, male, white, stage:Stage III, alive, 706 days
615.5
TCGA-YH-A8SY-01A
0 years, female, white, stage:'--, alive, 388 days
609.8
TCGA-F2-A7TX-01A
0 years, male, white, stage:Stage IIB, dead, 95 days
607.9
TCGA-HV-A5A5-01A
0 years, female, asian, stage:Stage IIB, alive, 289 days
606.6
TCGA-3A-A9I9-01A
0 years, male, white, stage:Stage IIA, dead, 634 days
604.5
TCGA-2L-AAQE-01A
0 years, male, white, stage:Stage IIB, dead, 684 days
600.5
TCGA-2J-AABI-01A
0 years, female, white, stage:Stage IIA, alive, 969 days
597.3
TCGA-XD-AAUH-01A
0 years, female, white, stage:Stage IIB, alive, 395 days
591.3
TCGA-FB-A5VM-01A
0 years, male, white, stage:Stage IB, dead, 498 days
586.9
TCGA-2J-AABO-01A
0 years, male, white, stage:Stage IIB, alive, 440 days
583.7
TCGA-IB-7651-01A
0 years, female, white, stage:Stage IIB, dead, 603 days
578.2
TCGA-M8-A5N4-01A
0 years, female, stage:Stage IIA, alive, 584 days
564.4
TCGA-XD-AAUI-01A
0 years, female, white, stage:Stage IIB, dead, 366 days
555.7
TCGA-2L-AAQM-01A
0 years, male, white, stage:Stage IIB, alive, 1383 days
541.8
TCGA-HZ-7920-01A
0 years, male, white, stage:Stage IB, dead, 236 days
540.1
TCGA-OE-A75W-01A
0 years, male, white, stage:Stage IIA, dead, 267 days
539.0
TCGA-FB-AAPY-01A
0 years, male, white, stage:Stage IIB, dead, 1059 days
538.4
TCGA-H6-8124-01A
0 years, female, white, stage:Stage IIB, alive, 392 days
537.0
TCGA-FB-AAQ3-01A
0 years, female, white, stage:Stage IIB, dead, 31 days
536.3
TCGA-IB-AAUN-01A
0 years, female, white, stage:Stage IB, dead, 144 days
535.4
TCGA-3E-AAAZ-01A
0 years, male, white, stage:Stage IIA, dead, 2182 days
531.8
TCGA-FB-A545-01A
0 years, female, white, stage:Stage IIB, dead, 732 days
527.2
TCGA-L1-A7W4-01A
0 years, female, white, stage:Stage IIB, dead, 278 days
519.6
TCGA-IB-A6UF-01A
0 years, male, white, stage:Stage IIB, alive, 666 days
515.8
TCGA-HZ-7919-01A
0 years, female, white, stage:Stage IIB, dead, 593 days
515.4
TCGA-3A-A9IL-01A
0 years, female, white, stage:Stage I, alive, 2741 days
514.4
TCGA-HZ-A9TJ-01A
0 years, male, white, stage:Stage IV, alive, 603 days
513.8
TCGA-IB-7891-01A
0 years, female, white, stage:Stage IIB, dead, 913 days
513.5
TCGA-IB-7644-01A
0 years, female, white, stage:Stage IV, dead, 394 days
505.7
TCGA-IB-7887-01A
0 years, female, white, stage:Stage IIB, dead, 110 days
497.3
TCGA-IB-7654-01A
0 years, male, white, stage:Stage IIB, dead, 476 days
490.8
TCGA-3A-A9IZ-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
488.6
TCGA-PZ-A5RE-01A
0 years, female, white, stage:Stage IIB, dead, 470 days
487.1
TCGA-FB-AAPQ-01A
0 years, male, white, stage:Stage IIB, dead, 1130 days
484.4
TCGA-2J-AABH-01A
0 years, male, white, stage:Stage IIA, alive, 1287 days
484.3
TCGA-IB-A7LX-01A
0 years, male, white, stage:Stage IIB, dead, 250 days
482.6
TCGA-IB-7885-01A
0 years, female, white, stage:Stage IIB, alive, 1257 days
473.5
TCGA-FB-AAQ6-01A
0 years, male, white, stage:Stage IA, dead, 244 days
459.1
TCGA-LB-A8F3-01A
0 years, female, black or african american, stage:Stage IIA, alive, 379 days
457.4
TCGA-HZ-7918-01A
0 years, male, white, stage:Stage IIB, alive, 969 days
451.4
TCGA-2J-AABU-01A
0 years, male, white, stage:Stage IIB, dead, 277 days
449.7
TCGA-HZ-A77O-01A
0 years, female, white, stage:Stage IIB, dead, 160 days
441.4
TCGA-2J-AAB6-01A
0 years, male, white, stage:Stage IIA, dead, 293 days
437.3
TCGA-FB-AAQ1-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
436.5
TCGA-IB-7646-01A
0 years, male, white, stage:Stage IIB, dead, 145 days
431.0
TCGA-IB-7886-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
424.7
TCGA-2L-AAQA-01A
0 years, male, white, stage:Stage IIB, dead, 143 days
419.6
TCGA-S4-A8RM-01A
0 years, male, white, stage:Stage IIB, alive, 737 days
416.2
TCGA-IB-A7M4-01A
0 years, male, white, stage:Stage IIB, alive, 483 days
414.5
TCGA-HV-A5A3-01A
0 years, male, asian, stage:Stage IIA, dead, 128 days
410.8
TCGA-FB-AAPZ-01A
0 years, male, white, stage:Stage IIB, alive, 716 days
409.3
TCGA-3A-A9IU-01A
0 years, male, white, stage:Stage IIB, dead, 458 days
408.5
TCGA-3A-A9IR-01A
0 years, female, white, stage:Stage IB, alive, 1542 days
395.7
TCGA-IB-A5SP-01A
0 years, male, white, stage:Stage IIA, alive, 482 days
391.4
TCGA-IB-7889-01A
0 years, female, white, stage:Stage IIB, dead, 481 days
387.2
TCGA-IB-AAUM-01A
0 years, male, white, stage:Stage IIB, alive, 8 days
381.9
TCGA-LB-A9Q5-01A
0 years, female, white, stage:Stage IIB, dead, 313 days
374.8
TCGA-F2-A44G-01A
0 years, female, white, stage:Stage IIB, dead, 233 days
373.0
TCGA-US-A77G-01A
0 years, male, white, stage:Stage IIB, dead, 12 days
372.2
TCGA-IB-AAUO-01A
0 years, female, white, stage:Stage IIB, dead, 239 days
371.0
TCGA-HV-A5A6-01A
0 years, female, asian, stage:Stage IIB, dead, 2036 days
367.5
TCGA-Z5-AAPL-01A
0 years, female, white, stage:Stage IIA, alive, 467 days
363.0
TCGA-HZ-7926-01A
0 years, male, black or african american, stage:Stage IIB, dead, 518 days
360.2
TCGA-HZ-8637-01A
0 years, female, white, stage:Stage IIB, dead, 517 days
351.1
TCGA-HV-A7OL-01A
0 years, male, asian, stage:Stage IIA, alive, 252 days
334.8
TCGA-IB-A6UG-01A
0 years, male, white, stage:Stage IIB, dead, 41 days
326.0
TCGA-3A-A9IJ-01A
0 years, male, white, stage:Stage IB, alive, 1854 days
321.8
TCGA-HZ-8317-01A
0 years, female, white, stage:Stage IIB, dead, 378 days
304.7
TCGA-HZ-A8P1-01A
0 years, male, white, stage:Stage IB, alive, 7 days
297.1
TCGA-HZ-8005-01A
0 years, male, white, stage:Stage IIB, dead, 120 days
297.0
TCGA-FB-AAPU-01A
0 years, female, asian, stage:Stage IIA, dead, 381 days
291.1
TCGA-HZ-8638-01A
0 years, female, white, stage:Stage IA, dead, 151 days
286.9
TCGA-3A-A9IS-01A
0 years, male, white, stage:Stage IB, alive, 998 days
284.4
TCGA-Q3-AA2A-01A
0 years, female, white, stage:Stage IB, alive, 95 days
268.9
TCGA-F2-6879-01A
0 years, male, white, stage:Stage IIB, dead, 334 days
265.7
TCGA-FB-A78T-01A
0 years, female, white, stage:Stage IIB, dead, 375 days
263.6
TCGA-3A-A9IO-01A
0 years, male, white, stage:'--, alive, 1942 days
257.7
TCGA-HZ-7924-01A
0 years, female, white, stage:Stage IIA, alive, 840 days
255.3
TCGA-YY-A8LH-01A
0 years, female, white, stage:Stage IIB, alive, 2016 days
247.9
TCGA-IB-8126-01A
0 years, female, white, stage:Stage III, alive, 462 days
242.4
TCGA-US-A779-01A
0 years, female, white, stage:Stage IIB, dead, 511 days
241.9
TCGA-3A-A9IV-01A
0 years, female, white, stage:Stage IB, alive, 1103 days
228.5
TCGA-FB-AAQ0-01A
0 years, male, white, stage:Stage IIA, dead, 473 days
226.5
TCGA-2J-AABK-01A
0 years, male, white, stage:Stage IIB, alive, 484 days
225.1
TCGA-LB-A7SX-01A
0 years, female, black or african american, stage:Stage IIB, dead, 393 days
201.6
TCGA-FB-AAQ2-01A
0 years, female, white, stage:Stage IIB, dead, 153 days
200.7
TCGA-HZ-8003-01A
0 years, female, white, stage:Stage IIB, dead, 596 days
189.7
TCGA-US-A776-01A
0 years, male, white, stage:Stage IIA, alive, 1216 days
187.8
TCGA-3A-A9I5-01A
0 years, male, white, stage:'--, alive, 1794 days
168.4
TCGA-F2-6880-01A
0 years, male, white, stage:Stage IIB, alive, 295 days
93.2
TCGA-FB-AAPP-01A
0 years, male, white, stage:Stage IIB, dead, 485 days
90.4
TCGA-2J-AABV-01A
0 years, male, white, stage:Stage IIB, dead, 652 days
66.9
TCGA-HZ-7289-01A
0 years, male, white, stage:Stage IIB, dead, 661 days
60.2
TCGA-HV-A7OP-01A
0 years, male, asian, stage:Stage IIB, alive, 978 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.
IGFBP7 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
310.8
Number of samples
80
Samples
Sample
Description
TPM
DO49164
0 years, male, NA, stage:, alive, 272 days
973.7
DO49133
0 years, female, NA, stage:, alive, 188 days
891.2
DO49135
0 years, male, NA, stage:, alive, 270 days
678.6
DO49129
0 years, male, NA, stage:, alive, 337 days
623.8
DO33168
0 years, female, NA, stage:, dead, 8 days
616.4
DO49181
0 years, male, NA, stage:, dead, 1534 days
572.2
DO32900
0 years, male, NA, stage:, dead, 768 days
564.4
DO49185
0 years, male, NA, stage:, alive, 179 days
552.1
DO49127
0 years, female, NA, stage:, alive, 392 days
549.3
DO34432
0 years, female, NA, stage:, dead, 400 days
534.9
DO49137
0 years, female, NA, stage:, alive, 232 days
520.6
DO32863
0 years, male, NA, stage:, dead, 715 days
520.5
DO33128
0 years, male, NA, stage:, dead, 423 days
508.5
DO49170
0 years, male, NA, stage:, alive, 197 days
499.9
DO32860
0 years, male, NA, stage:, dead, 1259 days
488.1
DO34793
0 years, male, NA, stage:, dead, 427 days
464.1
DO49078
0 years, male, NA, stage:, dead, 465 days
445.7
DO34728
0 years, female, NA, stage:, alive, 508 days
433.6
DO33376
0 years, female, NA, stage:, alive, 909 days
429.6
DO33984
0 years, male, NA, stage:, alive, 847 days
426.1
DO49166
0 years, female, NA, stage:, alive, 222 days
408.2
DO34448
0 years, female, NA, stage:, dead, 719 days
404.7
DO34656
0 years, female, NA, stage:, alive, 834 days
395.3
DO49113
0 years, female, NA, stage:, alive, 413 days
386.0
DO34696
0 years, male, NA, stage:, alive, 689 days
382.3
DO34608
0 years, female, NA, stage:, dead, 709 days
372.6
DO49178
0 years, male, NA, stage:, dead, 27 days
369.0
DO49138
0 years, male, NA, stage:, dead, 230 days
368.9
DO34720
0 years, male, NA, stage:, alive, 555 days
368.0
DO33480
0 years, male, NA, stage:, alive, 1054 days
364.6
DO34785
0 years, female, NA, stage:, alive, 721 days
353.0
DO49168
0 years, male, NA, stage:, alive, 149 days
351.4
DO34264
0 years, female, NA, stage:, dead, 1144 days
331.5
DO49199
0 years, male, NA, stage:, dead, 1095 days
316.4
DO49204
0 years, male, NA, stage:, dead, 156 days
301.2
DO34504
0 years, male, NA, stage:, dead, 257 days
299.0
DO33408
0 years, female, NA, stage:, alive, 909 days
286.6
DO33488
0 years, male, NA, stage:, alive, 844 days
284.6
DO34288
0 years, female, NA, stage:, dead, 220 days
280.6
DO34801
0 years, male, NA, stage:, alive, 626 days
267.8
DO34905
0 years, male, NA, stage:, alive, 1142 days
263.8
DO34600
0 years, male, NA, stage:, dead, 537 days
260.4
DO49130
0 years, female, NA, stage:, alive, 351 days
258.6
DO49184
0 years, male, NA, stage:, dead, 455 days
258.0
DO33344
0 years, male, NA, stage:, dead, 361 days
256.5
DO49183
0 years, female, NA, stage:, dead, 429 days
254.9
DO34640
0 years, female, NA, stage:, dead, 287 days
249.0
DO33392
0 years, male, NA, stage:, alive, 1014 days
241.4
DO33544
0 years, female, NA, stage:, dead, 412 days
238.2
DO32829
0 years, female, NA, stage:T2N0MX, dead, 1874 days
236.0
DO49080
0 years, male, NA, stage:, alive, 83 days
232.1
DO34817
0 years, female, NA, stage:, alive, 540 days
224.1
DO32875
0 years, male, NA, stage:, dead, 348 days
223.3
DO33472
0 years, female, NA, stage:, dead, 388 days
207.7
DO49076
0 years, male, NA, stage:, dead, 480 days
204.7
DO34849
0 years, female, NA, stage:, dead, 272 days
203.1
DO49193
0 years, male, NA, stage:, dead, 1 days
199.5
DO33600
0 years, female, NA, stage:, alive, 854 days
191.2
DO34240
0 years, male, NA, stage:, dead, 236 days
190.5
DO33336
0 years, female, NA, stage:, dead, 451 days
180.1
DO34368
0 years, female, NA, stage:, dead, 537 days
176.9
DO33512
female, NA, stage:, dead, 499 days
176.6
DO33552
0 years, female, NA, stage:, alive, 873 days
171.6
DO34736
0 years, female, NA, stage:, dead, 203 days
166.0
DO49087
0 years, female, NA, stage:, dead, 260 days
163.7
DO34680
0 years, male, NA, stage:, dead, 99 days
163.5
DO32878
0 years, female, NA, stage:, dead, 260 days
152.5
DO33400
0 years, female, NA, stage:, alive, 1043 days
143.9
DO49090
0 years, female, NA, stage:, dead, 152 days
132.7
DO49172
0 years, female, NA, stage:, dead, 1021 days
129.3
DO34312
0 years, female, NA, stage:, dead, 226 days
118.0
DO49079
0 years, male, NA, stage:, dead, 332 days
78.8
DO34809
0 years, female, NA, stage:, dead, 297 days
68.1
DO33368
0 years, male, NA, stage:, dead, 98 days
62.0
DO49198
0 years, female, NA, stage:, dead, 251 days
50.8
DO34961
0 years, male, NA, stage:, dead, 632 days
39.6
DO34616
0 years, female, NA, stage:, alive, 666 days
37.7
DO49175
0 years, male, NA, stage:, dead, 414 days
30.9
DO34336
0 years, female, NA, stage:, alive, 743 days
25.7
DO49074
0 years, male, NA, stage:, dead, 168 days
17.8
Show allShow less
PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
235
Samples
Sample ID
Sample type
nRPX
CPT0094940004
Tumor
1.2
CPT0238820005
Tumor
1.2
CPT0011520003
Tumor
1.1
CPT0174700004
Tumor
1.1
CPT0238530005
Tumor
1.0
CPT0355180003
Normal
1.0
CPT0109010004
Tumor
1.0
CPT0091660003
Tumor
0.9
CPT0108400003
Tumor
0.9
CPT0187550004
Tumor
0.8
CPT0000250017
Tumor
0.8
CPT0025750003
Tumor
0.8
CPT0237270005
Tumor
0.7
CPT0014040003
Tumor
0.7
CPT0183750005
Tumor
0.6
CPT0183450005
Tumor
0.6
CPT0174800003
Normal
0.6
CPT0081260004
Tumor
0.6
CPT0081470004
Tumor
0.6
CPT0246940003
Tumor
0.6
CPT0236340004
Tumor
0.5
CPT0246720003
Tumor
0.5
CPT0064110003
Normal
0.5
CPT0064570003
Normal
0.5
CPT0123990003
Tumor
0.5
CPT0078030003
Normal
0.5
CPT0248410004
Tumor
0.5
CPT0065570003
Tumor
0.5
CPT0246840003
Tumor
0.5
CPT0209310004
Tumor
0.4
CPT0001730017
Tumor
0.4
CPT0124360003
Tumor
0.4
CPT0162660004
Tumor
0.4
CPT0109300004
Tumor
0.4
CPT0247040003
Tumor
0.4
CPT0063970004
Tumor
0.4
CPT0236780005
Tumor
0.4
CPT0203850004
Tumor
0.4
CPT0078160004
Tumor
0.4
KoreanReference3
Tumor
0.4
CPT0238040005
Tumor
0.4
CPT0226570004
Tumor
0.4
CPT0094630004
Tumor
0.4
CPT0087890004
Tumor
0.4
CPT0078000003
Tumor
0.4
CPT0224460004
Tumor
0.3
CPT0170240004
Tumor
0.3
CPT0089720003
Tumor
0.3
CPT0209640005
Tumor
0.3
CPT0198420004
Tumor
0.3
CPT0237910004
Tumor
0.3
CPT0186040004
Tumor
0.3
CPT0108930003
Tumor
0.3
CPT0235230004
Tumor
0.3
WU-PDA1
Tumor
0.3
CPT0077880003
Normal
0.3
CPT0088260004
Tumor
0.3
CPT0063570003
Tumor
0.2
CPT0008750003
Tumor
0.2
CPT0227930004
Tumor
0.2
CPT0185920004
Tumor
0.2
CPT0197420004
Tumor
0.2
CPT0207780004
Tumor
0.2
C3L-00401-04
Normal
0.2
CPT0109200004
Tumor
0.2
CPT0077860003
Tumor
0.2
CPT0094230004
Tumor
0.2
CPT0088180004
Tumor
0.2
CPT0276010003
Tumor
0.2
CPT0197440004
Normal
0.2
CPT0246260004
Tumor
0.1
KoreanReference1
Tumor
0.1
CPT0078090004
Tumor
0.1
CPT0123650003
Tumor
0.1
CPT0226530004
Tumor
0.1
CPT0239100009
Tumor
0.1
CPT0226650004
Tumor
0.1
CPT0226490004
Tumor
0.1
CPT0238440005
Tumor
0.1
CPT0236560004
Tumor
0.1
CPT0226760004
Tumor
0.1
CPT0208690004
Tumor
0.1
CPT0264150003
Tumor
0.1
CPT0019410004
Tumor
0.1
CPT0248620003
Normal
0.1
CPT0124980004
Tumor
0.1
CPT0081060004
Tumor
0.1
CPT0078250003
Tumor
0.1
CPT0207980005
Tumor
0.1
CPT0093980004
Tumor
0.1
CPT0123750003
Tumor
0.0
CPT0124410004
Tumor
0.0
CPT0065640003
Tumor
0.0
CPT0217700004
Tumor
0.0
CPT0221470005
Tumor
0.0
CPT0138990003
Normal
0.0
CPT0008800003
Tumor
0.0
CPT0094130004
Tumor
0.0
CPT0218200004
Tumor
0.0
CPT0094180003
Tumor
0.0
CPT0077930004
Tumor
0.0
CPT0162760003
Tumor
0.0
CPT0221250004
Normal
0.0
CPT0248590004
Tumor
0.0
CPT0064090003
Tumor
-0.1
CPT0088320003
Tumor
-0.1
KoreanReference2
Tumor
-0.1
CPT0094740004
Tumor
-0.1
CPT0123440003
Tumor
-0.1
CPT0124500004
Tumor
-0.1
CPT0017040004
Tumor
-0.1
CPT0019300004
Tumor
-0.1
CPT0081360004
Tumor
-0.1
CPT0083270003
Tumor
-0.1
CPT0226610004
Normal
-0.1
CPT0241510004
Normal
-0.1
CPT0123890003
Normal
-0.1
CPT0123860003
Tumor
-0.1
CPT0139000004
Tumor
-0.1
CPT0161990005
Tumor
-0.1
CPT0126160004
Tumor
-0.2
CPT0246990003
Tumor
-0.2
CPT0246210004
Tumor
-0.2
CPT0125130003
Tumor
-0.2
CPT0198910005
Tumor
-0.2
CPT0127270003
Tumor
-0.2
CPT0123770003
Normal
-0.2
CPT0246950003
Normal
-0.2
CPT0247000003
Normal
-0.2
CPT0238710004
Tumor
-0.2
CPT0162670004
Normal
-0.2
CPT0208840004
Tumor
-0.2
CPT0093860003
Tumor
-0.2
CPT0161770004
Tumor
-0.2
CPT0241320005
Tumor
-0.2
CPT0093930004
Tumor
-0.3
CPT0246810003
Tumor
-0.3
CPT0276030003
Normal
-0.3
CPT0236700005
Tumor
-0.3
CPT0238610009
Tumor
-0.3
CPT0066020003
Normal
-0.3
CPT0226680005
Tumor
-0.3
CPT0064520004
Tumor
-0.3
CPT0077950003
Normal
-0.4
CPT0086190004
Tumor
-0.4
CPT0208550005
Tumor
-0.4
CPT0086210003
Normal
-0.4
CPT0092630003
Tumor
-0.4
CPT0077790004
Tumor
-0.4
CPT0247090003
Tumor
-0.4
CPT0246220004
Normal
-0.5
CPT0207990004
Normal
-0.5
CPT0226600004
Tumor
-0.5
CPT0001750003
Normal
-0.5
CPT0198700005
Tumor
-0.5
CPT0093880003
Normal
-0.5
CPT0091680003
Normal
-0.6
CPT0237840004
Tumor
-0.6
CPT0248440003
Normal
-0.6
CPT0108960003
Normal
-0.6
CPT0011540003
Normal
-0.6
CPT0187540004
Normal
-0.6
CPT0347790002
Normal
-0.6
CPT0239910004
Tumor
-0.6
CPT0209650004
Normal
-0.7
CPT0238640004
Normal
-0.7
CPT0241500004
Tumor
-0.7
C3L-03632-04
Normal
-0.7
CPT0125010003
Normal
-0.7
CPT0238920004
Tumor
-0.7
CPT0254680003
Tumor
-0.7
CPT0125090003
Tumor
-0.8
CPT0123460003
Normal
-0.8
CPT0094030003
Tumor
-0.8
CPT0124530003
Normal
-0.8
CPT0017130003
Normal
-0.9
CPT0347850002
Normal
-0.9
CPT0166780004
Normal
-0.9
CPT0237850004
Normal
-0.9
CPT0127290003
Normal
-0.9
CPT0025760003
Normal
-0.9
CPT0187930005
Tumor
-0.9
CPT0089750004
Normal
-1.0
CPT0123670003
Normal
-1.0
CPT0124610004
Tumor
-1.0
CPT0077810003
Normal
-1.0
CPT0166760004
Tumor
-1.0
CPT0221240004
Tumor
-1.0
CPT0236360004
Normal
-1.0
CPT0078180003
Normal
-1.0
CPT0124000003
Normal
-1.1
C3N-00709-06
Normal
-1.1
CPT0347760002
Normal
-1.1
CPT0198930003
Normal
-1.1
CPT0218220004
Normal
-1.2
CPT0198440004
Normal
-1.2
C3L-00189-04
Normal
-1.2
CPT0162780004
Normal
-1.2
C3N-02573-03
Normal
-1.2
CPT0236800004
Normal
-1.3
CPT0238740004
Normal
-1.3
CPT0355200003
Normal
-1.3
CPT0208850004
Normal
-1.3
CPT0347880002
Normal
-1.4
CPT0170260004
Normal
-1.4
CPT0236710004
Normal
-1.4
CPT0238940004
Normal
-1.4
CPT0239920004
Normal
-1.4
CPT0063580003
Normal
-1.4
CPT0355190003
Normal
-1.5
CPT0347820002
Normal
-1.6
CPT0208710004
Normal
-1.6
CPT0183770004
Normal
-1.7
CPT0237920004
Normal
-1.7
CPT0239140004
Normal
-1.9
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.