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.
HNRNPF 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
117.8
Number of samples
176
Samples
Sample
Description
TPM
TCGA-IB-7644-01A
0 years, female, white, stage:Stage IV, dead, 394 days
265.2
TCGA-HZ-7919-01A
0 years, female, white, stage:Stage IIB, dead, 593 days
232.0
TCGA-IB-7886-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
204.6
TCGA-S4-A8RM-01A
0 years, male, white, stage:Stage IIB, alive, 737 days
193.6
TCGA-IB-8127-01A
0 years, male, white, stage:Stage IIB, alive, 522 days
190.9
TCGA-L1-A7W4-01A
0 years, female, white, stage:Stage IIB, dead, 278 days
187.9
TCGA-US-A77G-01A
0 years, male, white, stage:Stage IIB, dead, 12 days
186.5
TCGA-HZ-8636-01A
0 years, female, white, stage:Stage IV, dead, 545 days
185.6
TCGA-HZ-7922-01A
0 years, female, white, stage:Stage IIB, alive, 4 days
184.1
TCGA-HZ-A8P1-01A
0 years, male, white, stage:Stage IB, alive, 7 days
183.4
TCGA-F2-6879-01A
0 years, male, white, stage:Stage IIB, dead, 334 days
180.7
TCGA-2L-AAQA-01A
0 years, male, white, stage:Stage IIB, dead, 143 days
179.0
TCGA-HZ-7925-01A
0 years, male, white, stage:Stage IIB, dead, 614 days
178.9
TCGA-IB-7646-01A
0 years, male, white, stage:Stage IIB, dead, 145 days
178.7
TCGA-2L-AAQE-01A
0 years, male, white, stage:Stage IIB, dead, 684 days
178.3
TCGA-F2-A7TX-01A
0 years, male, white, stage:Stage IIB, dead, 95 days
175.6
TCGA-HZ-7926-01A
0 years, male, black or african american, stage:Stage IIB, dead, 518 days
173.3
TCGA-HZ-7924-01A
0 years, female, white, stage:Stage IIA, alive, 840 days
172.3
TCGA-IB-A7LX-01A
0 years, male, white, stage:Stage IIB, dead, 250 days
170.6
TCGA-IB-A5SS-01A
0 years, female, white, stage:Stage IIB, dead, 460 days
161.8
TCGA-F2-A44G-01A
0 years, female, white, stage:Stage IIB, dead, 233 days
159.5
TCGA-IB-AAUU-01A
0 years, male, white, stage:Stage IIB, alive, 245 days
158.2
TCGA-IB-7645-01A
0 years, female, stage:Stage IIB, dead, 1502 days
155.5
TCGA-HZ-8002-01A
0 years, male, white, stage:Stage IIB, dead, 366 days
154.7
TCGA-IB-A5SP-01A
0 years, male, white, stage:Stage IIA, alive, 482 days
154.6
TCGA-FB-AAPU-01A
0 years, female, asian, stage:Stage IIA, dead, 381 days
154.5
TCGA-IB-AAUN-01A
0 years, female, white, stage:Stage IB, dead, 144 days
153.1
TCGA-F2-A8YN-01A
0 years, male, white, stage:Stage IIA, alive, 517 days
153.1
TCGA-YY-A8LH-01A
0 years, female, white, stage:Stage IIB, alive, 2016 days
152.3
TCGA-RB-AA9M-01A
0 years, male, white, stage:Stage IIB, alive, 286 days
151.9
TCGA-3E-AAAZ-01A
0 years, male, white, stage:Stage IIA, dead, 2182 days
151.1
TCGA-2L-AAQJ-01A
0 years, female, white, stage:Stage III, dead, 394 days
151.1
TCGA-2J-AABU-01A
0 years, male, white, stage:Stage IIB, dead, 277 days
151.1
TCGA-IB-7651-01A
0 years, female, white, stage:Stage IIB, dead, 603 days
150.6
TCGA-IB-7652-01A
0 years, female, asian, stage:Stage IIB, alive, 1116 days
148.8
TCGA-FB-AAQ6-01A
0 years, male, white, stage:Stage IA, dead, 244 days
148.3
TCGA-IB-7897-01A
0 years, female, white, stage:Stage IIB, dead, 486 days
147.8
TCGA-HZ-8005-01A
0 years, male, white, stage:Stage IIB, dead, 120 days
147.8
TCGA-FB-AAPQ-01A
0 years, male, white, stage:Stage IIB, dead, 1130 days
147.6
TCGA-FB-A7DR-01A
0 years, male, asian, stage:Stage IIA, dead, 353 days
147.2
TCGA-S4-A8RP-01A
0 years, female, white, stage:Stage IIB, dead, 702 days
146.7
TCGA-IB-A7M4-01A
0 years, male, white, stage:Stage IIB, alive, 483 days
146.2
TCGA-US-A776-01A
0 years, male, white, stage:Stage IIA, alive, 1216 days
145.9
TCGA-Z5-AAPL-01A
0 years, female, white, stage:Stage IIA, alive, 467 days
144.9
TCGA-IB-7887-01A
0 years, female, white, stage:Stage IIB, dead, 110 days
144.0
TCGA-2J-AAB8-01A
0 years, male, white, stage:Stage IIB, alive, 80 days
141.4
TCGA-HV-A5A4-01A
0 years, female, asian, stage:Stage IIA, alive, 232 days
140.9
TCGA-2L-AAQI-01A
0 years, male, white, stage:Stage IIB, dead, 103 days
140.7
TCGA-S4-A8RO-01A
0 years, female, white, stage:Stage IIB, alive, 525 days
139.1
TCGA-3A-A9J0-01A
0 years, male, white, stage:Stage IIB, alive, 743 days
138.7
TCGA-IB-7890-01A
0 years, male, stage:Stage IB, dead, 598 days
138.3
TCGA-3A-A9IZ-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
137.7
TCGA-3A-A9IC-01A
0 years, female, white, stage:Stage IIB, dead, 738 days
137.0
TCGA-XD-AAUL-01A
0 years, male, white, stage:Stage IIA, alive, 498 days
136.9
TCGA-IB-7893-01A
0 years, male, white, stage:Stage IIA, dead, 117 days
136.6
TCGA-HZ-8315-01A
0 years, female, white, stage:Stage IIA, dead, 299 days
135.3
TCGA-2J-AABI-01A
0 years, female, white, stage:Stage IIA, alive, 969 days
134.8
TCGA-F2-7276-01A
0 years, male, white, stage:Stage IIB, dead, 216 days
133.7
TCGA-2J-AAB1-01A
0 years, male, white, stage:Stage IIB, dead, 66 days
133.4
TCGA-IB-7654-01A
0 years, male, white, stage:Stage IIB, dead, 476 days
132.7
TCGA-YB-A89D-01A
0 years, male, white, stage:Stage IIB, alive, 350 days
131.6
TCGA-HZ-A4BH-01A
0 years, male, white, stage:Stage IIB, alive, 194 days
130.9
TCGA-2J-AABH-01A
0 years, male, white, stage:Stage IIA, alive, 1287 days
130.0
TCGA-3A-A9IH-01A
0 years, female, white, stage:Stage IA, alive, 1021 days
129.3
TCGA-F2-7273-01A
0 years, male, black or african american, stage:Stage IIB, dead, 592 days
129.2
TCGA-HZ-7920-01A
0 years, male, white, stage:Stage IB, dead, 236 days
129.1
TCGA-HZ-8638-01A
0 years, female, white, stage:Stage IA, dead, 151 days
129.0
TCGA-IB-AAUW-01A
0 years, female, white, stage:Stage IIB, dead, 230 days
128.6
TCGA-HV-A5A3-01A
0 years, male, asian, stage:Stage IIA, dead, 128 days
128.3
TCGA-2J-AABE-01A
0 years, male, white, stage:Stage IIA, alive, 676 days
127.0
TCGA-IB-7888-01A
0 years, female, black or african american, stage:Stage IIA, dead, 1332 days
127.0
TCGA-2J-AAB4-01A
0 years, male, white, stage:Stage IIB, alive, 729 days
127.0
TCGA-HZ-A77P-01A
0 years, male, white, stage:Stage IIB, alive, 330 days
126.7
TCGA-HZ-A9TJ-01A
0 years, male, white, stage:Stage IV, alive, 603 days
124.0
TCGA-IB-7885-01A
0 years, female, white, stage:Stage IIB, alive, 1257 days
123.5
TCGA-IB-A5SO-01A
0 years, male, white, stage:Stage IIB, dead, 365 days
123.4
TCGA-HZ-8637-01A
0 years, female, white, stage:Stage IIB, dead, 517 days
123.4
TCGA-IB-AAUR-01A
0 years, male, white, stage:Stage IIB, alive, 338 days
123.2
TCGA-IB-A6UF-01A
0 years, male, white, stage:Stage IIB, alive, 666 days
121.9
TCGA-XN-A8T5-01A
0 years, female, white, stage:Stage IB, alive, 720 days
121.9
TCGA-US-A77E-01A
0 years, male, white, stage:Stage IIB, dead, 430 days
121.1
TCGA-IB-7891-01A
0 years, female, white, stage:Stage IIB, dead, 913 days
120.9
TCGA-FB-A4P6-01A
0 years, male, white, stage:Stage IIB, alive, 767 days
120.9
TCGA-HZ-7918-01A
0 years, male, white, stage:Stage IIB, alive, 969 days
119.7
TCGA-FB-AAPZ-01A
0 years, male, white, stage:Stage IIB, alive, 716 days
119.4
TCGA-IB-AAUS-01A
0 years, female, white, stage:Stage IIB, alive, 225 days
118.9
TCGA-HZ-8519-01A
0 years, male, white, stage:Stage IA, alive, 454 days
118.6
TCGA-PZ-A5RE-01A
0 years, female, white, stage:Stage IIB, dead, 470 days
118.3
TCGA-2J-AABR-01A
0 years, female, white, stage:Stage IIA, alive, 438 days
118.0
TCGA-FB-AAQ0-01A
0 years, male, white, stage:Stage IIA, dead, 473 days
116.6
TCGA-3E-AAAY-01A
0 years, male, white, stage:Stage IIB, alive, 2285 days
116.5
TCGA-2J-AABF-01A
0 years, male, white, stage:Stage IIB, dead, 691 days
115.8
TCGA-HZ-A4BK-01A
0 years, male, white, stage:Stage IIB, alive, 657 days
115.7
TCGA-LB-A7SX-01A
0 years, female, black or african american, stage:Stage IIB, dead, 393 days
115.2
TCGA-IB-AAUP-01A
0 years, male, white, stage:Stage IIB, alive, 431 days
115.0
TCGA-HZ-A77Q-01A
0 years, female, white, stage:Stage IIB, alive, 33 days
114.9
TCGA-3A-A9IB-01A
0 years, female, white, stage:Stage IIB, dead, 224 days
114.0
TCGA-3A-A9I7-01A
0 years, male, black or african american, stage:Stage IIB, alive, 1323 days
114.0
TCGA-FB-A78T-01A
0 years, female, white, stage:Stage IIB, dead, 375 days
113.8
TCGA-IB-7889-01A
0 years, female, white, stage:Stage IIB, dead, 481 days
113.3
TCGA-HZ-7289-01A
0 years, male, white, stage:Stage IIB, dead, 661 days
113.0
TCGA-2J-AAB9-01A
0 years, female, white, stage:Stage IIB, dead, 627 days
112.6
TCGA-M8-A5N4-01A
0 years, female, stage:Stage IIA, alive, 584 days
111.9
TCGA-HZ-A49I-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
111.0
TCGA-IB-7649-01A
0 years, female, stage:Stage IIB, dead, 467 days
109.9
TCGA-IB-AAUV-01A
0 years, male, white, stage:Stage IIB, alive, 404 days
107.8
TCGA-HV-AA8X-01A
0 years, female, asian, stage:Stage IIB, dead, 532 days
107.5
TCGA-IB-A6UG-01A
0 years, male, white, stage:Stage IIB, dead, 41 days
106.6
TCGA-2J-AABT-01A
0 years, female, white, stage:Stage IIB, alive, 319 days
105.9
TCGA-H8-A6C1-01A
0 years, male, white, stage:Stage IIA, alive, 671 days
105.6
TCGA-XD-AAUH-01A
0 years, female, white, stage:Stage IIB, alive, 395 days
105.4
TCGA-HV-A5A6-01A
0 years, female, asian, stage:Stage IIB, dead, 2036 days
105.4
TCGA-YH-A8SY-01A
0 years, female, white, stage:'--, alive, 388 days
105.0
TCGA-HV-AA8V-01A
0 years, male, asian, stage:Stage IIB, alive, 920 days
104.6
TCGA-IB-AAUO-01A
0 years, female, white, stage:Stage IIB, dead, 239 days
103.9
TCGA-XN-A8T3-01A
0 years, male, white, stage:Stage IB, alive, 951 days
103.2
TCGA-H6-8124-01A
0 years, female, white, stage:Stage IIB, alive, 392 days
103.1
TCGA-FB-AAPP-01A
0 years, male, white, stage:Stage IIB, dead, 485 days
102.9
TCGA-FB-AAQ2-01A
0 years, female, white, stage:Stage IIB, dead, 153 days
102.7
TCGA-IB-A5ST-01A
0 years, female, white, stage:Stage IIB, alive, 635 days
101.3
TCGA-US-A779-01A
0 years, female, white, stage:Stage IIB, dead, 511 days
100.4
TCGA-US-A774-01A
0 years, female, white, stage:Stage IIB, dead, 695 days
100.1
TCGA-3A-A9IX-01A
0 years, male, white, stage:Stage IA, alive, 1037 days
99.8
TCGA-H6-A45N-01A
0 years, female, white, stage:Stage IIB, dead, 397 days
99.7
TCGA-3A-A9IR-01A
0 years, female, white, stage:Stage IB, alive, 1542 days
98.2
TCGA-XD-AAUI-01A
0 years, female, white, stage:Stage IIB, dead, 366 days
97.9
TCGA-IB-AAUT-01A
0 years, male, white, stage:Stage IIB, alive, 287 days
96.7
TCGA-3A-A9IU-01A
0 years, male, white, stage:Stage IIB, dead, 458 days
96.3
TCGA-RB-A7B8-01A
0 years, female, white, stage:Stage IIB, dead, 466 days
94.0
TCGA-RL-AAAS-01A
0 years, female, white, stage:Stage IB, alive, 9 days
94.0
TCGA-2J-AABA-01A
0 years, male, white, stage:Stage IIB, dead, 607 days
93.7
TCGA-XD-AAUG-01A
0 years, female, white, stage:Stage IV, alive, 420 days
93.6
TCGA-HZ-A49G-01A
0 years, female, white, stage:Stage IIB, alive, 660 days
93.6
TCGA-HV-A5A5-01A
0 years, female, asian, stage:Stage IIB, alive, 289 days
93.1
TCGA-HZ-7923-01A
0 years, male, white, stage:Stage IIA, alive, 314 days
92.9
TCGA-FB-A4P5-01A
0 years, female, white, stage:Stage IIB, dead, 179 days
92.5
TCGA-2J-AABP-01A
0 years, female, white, stage:Stage IIB, alive, 463 days
92.4
TCGA-FB-AAQ1-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
92.1
TCGA-2J-AABK-01A
0 years, male, white, stage:Stage IIB, alive, 484 days
91.9
TCGA-2J-AABO-01A
0 years, male, white, stage:Stage IIB, alive, 440 days
91.9
TCGA-FB-A545-01A
0 years, female, white, stage:Stage IIB, dead, 732 days
91.7
TCGA-IB-AAUQ-01A
0 years, male, white, stage:Stage IIB, dead, 183 days
90.5
TCGA-2L-AAQL-01A
0 years, male, white, stage:Stage IIB, dead, 292 days
89.3
TCGA-IB-A5SQ-01A
0 years, female, white, stage:Stage IB, dead, 219 days
89.1
TCGA-HZ-8001-01A
0 years, male, white, stage:Stage III, alive, 706 days
83.4
TCGA-FB-AAPS-01A
0 years, female, white, stage:Stage IIB, alive, 228 days
81.2
TCGA-Q3-AA2A-01A
0 years, female, white, stage:Stage IB, alive, 95 days
80.3
TCGA-Q3-A5QY-01A
0 years, male, white, stage:Stage IIB, alive, 416 days
78.9
TCGA-LB-A8F3-01A
0 years, female, black or african american, stage:Stage IIA, alive, 379 days
78.5
TCGA-2J-AAB6-01A
0 years, male, white, stage:Stage IIA, dead, 293 days
77.9
TCGA-HZ-8317-01A
0 years, female, white, stage:Stage IIB, dead, 378 days
76.6
TCGA-3A-A9I5-01A
0 years, male, white, stage:'--, alive, 1794 days
73.7
TCGA-FB-A5VM-01A
0 years, male, white, stage:Stage IB, dead, 498 days
73.2
TCGA-HZ-A49H-01A
0 years, female, white, stage:Stage IIB, alive, 491 days
72.2
TCGA-US-A77J-01A
0 years, female, white, stage:Stage IIB, dead, 568 days
70.9
TCGA-HZ-A77O-01A
0 years, female, white, stage:Stage IIB, dead, 160 days
68.4
TCGA-FB-AAPY-01A
0 years, male, white, stage:Stage IIB, dead, 1059 days
67.6
TCGA-FB-AAQ3-01A
0 years, female, white, stage:Stage IIB, dead, 31 days
66.8
TCGA-F2-A44H-01A
0 years, male, white, stage:Stage IIA, alive, 586 days
64.5
TCGA-HV-A7OL-01A
0 years, male, asian, stage:Stage IIA, alive, 252 days
63.9
TCGA-OE-A75W-01A
0 years, male, white, stage:Stage IIA, dead, 267 days
63.2
TCGA-HZ-8003-01A
0 years, female, white, stage:Stage IIB, dead, 596 days
62.4
TCGA-3A-A9IS-01A
0 years, male, white, stage:Stage IB, alive, 998 days
62.0
TCGA-3A-A9I9-01A
0 years, male, white, stage:Stage IIA, dead, 634 days
59.8
TCGA-3A-A9IO-01A
0 years, male, white, stage:'--, alive, 1942 days
53.3
TCGA-IB-AAUM-01A
0 years, male, white, stage:Stage IIB, alive, 8 days
47.4
TCGA-3A-A9IV-01A
0 years, female, white, stage:Stage IB, alive, 1103 days
47.0
TCGA-IB-8126-01A
0 years, female, white, stage:Stage III, alive, 462 days
46.1
TCGA-HV-A7OP-01A
0 years, male, asian, stage:Stage IIB, alive, 978 days
43.7
TCGA-3A-A9IL-01A
0 years, female, white, stage:Stage I, alive, 2741 days
39.1
TCGA-LB-A9Q5-01A
0 years, female, white, stage:Stage IIB, dead, 313 days
38.8
TCGA-3A-A9IN-01A
0 years, female, white, stage:Stage IB, alive, 2084 days
37.0
TCGA-2L-AAQM-01A
0 years, male, white, stage:Stage IIB, alive, 1383 days
35.7
TCGA-3A-A9IJ-01A
0 years, male, white, stage:Stage IB, alive, 1854 days
32.6
TCGA-2J-AABV-01A
0 years, male, white, stage:Stage IIB, dead, 652 days
17.6
TCGA-F2-6880-01A
0 years, male, white, stage:Stage IIB, alive, 295 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.
HNRNPF is not prognostic 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
82.7
Number of samples
80
Samples
Sample
Description
TPM
DO34616
0 years, female, NA, stage:, alive, 666 days
154.1
DO49178
0 years, male, NA, stage:, dead, 27 days
142.0
DO49137
0 years, female, NA, stage:, alive, 232 days
131.7
DO34817
0 years, female, NA, stage:, alive, 540 days
128.7
DO33488
0 years, male, NA, stage:, alive, 844 days
125.0
DO49113
0 years, female, NA, stage:, alive, 413 days
125.0
DO33128
0 years, male, NA, stage:, dead, 423 days
124.7
DO34785
0 years, female, NA, stage:, alive, 721 days
122.7
DO34640
0 years, female, NA, stage:, dead, 287 days
116.9
DO34656
0 years, female, NA, stage:, alive, 834 days
116.9
DO34801
0 years, male, NA, stage:, alive, 626 days
115.8
DO33368
0 years, male, NA, stage:, dead, 98 days
113.0
DO34608
0 years, female, NA, stage:, dead, 709 days
112.4
DO34264
0 years, female, NA, stage:, dead, 1144 days
110.6
DO49164
0 years, male, NA, stage:, alive, 272 days
108.0
DO34368
0 years, female, NA, stage:, dead, 537 days
107.7
DO49133
0 years, female, NA, stage:, alive, 188 days
107.0
DO32829
0 years, female, NA, stage:T2N0MX, dead, 1874 days
106.0
DO34288
0 years, female, NA, stage:, dead, 220 days
104.8
DO49129
0 years, male, NA, stage:, alive, 337 days
104.4
DO34905
0 years, male, NA, stage:, alive, 1142 days
103.0
DO34961
0 years, male, NA, stage:, dead, 632 days
102.1
DO49135
0 years, male, NA, stage:, alive, 270 days
102.1
DO34696
0 years, male, NA, stage:, alive, 689 days
101.8
DO34680
0 years, male, NA, stage:, dead, 99 days
98.6
DO49168
0 years, male, NA, stage:, alive, 149 days
98.4
DO34432
0 years, female, NA, stage:, dead, 400 days
96.7
DO33512
female, NA, stage:, dead, 499 days
96.1
DO49204
0 years, male, NA, stage:, dead, 156 days
94.3
DO49080
0 years, male, NA, stage:, alive, 83 days
93.6
DO34448
0 years, female, NA, stage:, dead, 719 days
91.7
DO32860
0 years, male, NA, stage:, dead, 1259 days
91.4
DO49130
0 years, female, NA, stage:, alive, 351 days
90.3
DO49127
0 years, female, NA, stage:, alive, 392 days
86.8
DO34793
0 years, male, NA, stage:, dead, 427 days
86.7
DO33552
0 years, female, NA, stage:, alive, 873 days
83.7
DO33408
0 years, female, NA, stage:, alive, 909 days
83.5
DO49166
0 years, female, NA, stage:, alive, 222 days
83.0
DO49138
0 years, male, NA, stage:, dead, 230 days
82.2
DO33984
0 years, male, NA, stage:, alive, 847 days
82.1
DO33392
0 years, male, NA, stage:, alive, 1014 days
81.7
DO32875
0 years, male, NA, stage:, dead, 348 days
80.5
DO34736
0 years, female, NA, stage:, dead, 203 days
80.2
DO33544
0 years, female, NA, stage:, dead, 412 days
76.8
DO33472
0 years, female, NA, stage:, dead, 388 days
76.8
DO33400
0 years, female, NA, stage:, alive, 1043 days
75.6
DO32878
0 years, female, NA, stage:, dead, 260 days
74.4
DO34720
0 years, male, NA, stage:, alive, 555 days
73.7
DO34504
0 years, male, NA, stage:, dead, 257 days
72.7
DO32863
0 years, male, NA, stage:, dead, 715 days
72.4
DO33376
0 years, female, NA, stage:, alive, 909 days
72.2
DO34728
0 years, female, NA, stage:, alive, 508 days
72.0
DO49181
0 years, male, NA, stage:, dead, 1534 days
71.0
DO49076
0 years, male, NA, stage:, dead, 480 days
69.3
DO33344
0 years, male, NA, stage:, dead, 361 days
69.1
DO49172
0 years, female, NA, stage:, dead, 1021 days
68.3
DO49185
0 years, male, NA, stage:, alive, 179 days
67.8
DO33168
0 years, female, NA, stage:, dead, 8 days
66.6
DO33600
0 years, female, NA, stage:, alive, 854 days
64.9
DO49079
0 years, male, NA, stage:, dead, 332 days
64.8
DO49193
0 years, male, NA, stage:, dead, 1 days
63.4
DO33336
0 years, female, NA, stage:, dead, 451 days
62.7
DO49183
0 years, female, NA, stage:, dead, 429 days
61.6
DO49090
0 years, female, NA, stage:, dead, 152 days
60.0
DO34240
0 years, male, NA, stage:, dead, 236 days
59.8
DO32900
0 years, male, NA, stage:, dead, 768 days
59.2
DO49078
0 years, male, NA, stage:, dead, 465 days
58.4
DO34809
0 years, female, NA, stage:, dead, 297 days
55.1
DO34312
0 years, female, NA, stage:, dead, 226 days
54.6
DO33480
0 years, male, NA, stage:, alive, 1054 days
53.7
DO49170
0 years, male, NA, stage:, alive, 197 days
47.4
DO49087
0 years, female, NA, stage:, dead, 260 days
47.1
DO34849
0 years, female, NA, stage:, dead, 272 days
47.0
DO34600
0 years, male, NA, stage:, dead, 537 days
46.5
DO49199
0 years, male, NA, stage:, dead, 1095 days
40.3
DO49184
0 years, male, NA, stage:, dead, 455 days
39.6
DO49074
0 years, male, NA, stage:, dead, 168 days
39.3
DO49198
0 years, female, NA, stage:, dead, 251 days
28.0
DO49175
0 years, male, NA, stage:, dead, 414 days
15.1
DO34336
0 years, female, NA, stage:, alive, 743 days
0.7
Show allShow less
PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
235
Samples
Sample ID
Sample type
nRPX
CPT0086210003
Normal
0.6
CPT0001750003
Normal
0.6
CPT0066020003
Normal
0.6
CPT0247000003
Normal
0.5
CPT0139000004
Tumor
0.5
CPT0081260004
Tumor
0.4
CPT0123440003
Tumor
0.4
CPT0064110003
Normal
0.4
CPT0077880003
Normal
0.4
CPT0081360004
Tumor
0.3
CPT0019300004
Tumor
0.3
CPT0226600004
Tumor
0.3
CPT0123750003
Tumor
0.2
CPT0064520004
Tumor
0.2
CPT0063570003
Tumor
0.2
CPT0123860003
Tumor
0.2
CPT0124000003
Normal
0.2
CPT0011540003
Normal
0.2
CPT0008800003
Tumor
0.2
CPT0125010003
Normal
0.2
CPT0123890003
Normal
0.2
C3L-03632-04
Normal
0.2
CPT0093980004
Tumor
0.2
CPT0208550005
Tumor
0.2
CPT0123460003
Normal
0.2
CPT0123670003
Normal
0.2
CPT0124530003
Normal
0.2
CPT0237840004
Tumor
0.2
CPT0077790004
Tumor
0.2
CPT0124610004
Tumor
0.2
CPT0187930005
Tumor
0.2
CPT0091660003
Tumor
0.1
CPT0235230004
Tumor
0.1
CPT0161770004
Tumor
0.1
CPT0108960003
Normal
0.1
CPT0083270003
Tumor
0.1
CPT0236360004
Normal
0.1
CPT0221250004
Normal
0.1
CPT0094030003
Tumor
0.1
CPT0248590004
Tumor
0.1
CPT0124360003
Tumor
0.1
CPT0238610009
Tumor
0.1
CPT0064090003
Tumor
0.1
CPT0086190004
Tumor
0.1
CPT0094630004
Tumor
0.1
CPT0088260004
Tumor
0.1
CPT0125130003
Tumor
0.1
CPT0239100009
Tumor
0.1
CPT0138990003
Normal
0.1
CPT0109200004
Tumor
0.1
CPT0094180003
Tumor
0.1
CPT0246810003
Tumor
0.1
CPT0078250003
Tumor
0.1
CPT0001730017
Tumor
0.1
CPT0094130004
Tumor
0.1
CPT0019410004
Tumor
0.1
CPT0227930004
Tumor
0.1
CPT0089750004
Normal
0.1
CPT0254680003
Tumor
0.1
CPT0221240004
Tumor
0.1
CPT0092630003
Tumor
0.1
CPT0124500004
Tumor
0.1
CPT0183750005
Tumor
0.1
CPT0247090003
Tumor
0.1
CPT0161990005
Tumor
0.1
CPT0355180003
Normal
0.0
CPT0065640003
Tumor
0.0
CPT0089720003
Tumor
0.0
CPT0226610004
Normal
0.0
CPT0207990004
Normal
0.0
CPT0093930004
Tumor
0.0
CPT0126160004
Tumor
0.0
CPT0218200004
Tumor
0.0
CPT0207980005
Tumor
0.0
CPT0124980004
Tumor
0.0
CPT0170240004
Tumor
0.0
CPT0017130003
Normal
0.0
CPT0094740004
Tumor
0.0
CPT0123990003
Tumor
0.0
CPT0077950003
Normal
0.0
CPT0239920004
Normal
0.0
CPT0065570003
Tumor
0.0
CPT0093860003
Tumor
0.0
CPT0078030003
Normal
0.0
CPT0241510004
Normal
0.0
CPT0088320003
Tumor
0.0
CPT0226680005
Tumor
0.0
CPT0226760004
Tumor
0.0
CPT0063970004
Tumor
0.0
CPT0239910004
Tumor
0.0
CPT0025760003
Normal
0.0
CPT0125090003
Tumor
0.0
CPT0238040005
Tumor
0.0
CPT0203850004
Tumor
0.0
CPT0108930003
Tumor
0.0
CPT0166760004
Tumor
0.0
CPT0226530004
Tumor
0.0
CPT0198700005
Tumor
0.0
CPT0008750003
Tumor
0.0
CPT0162670004
Normal
-0.1
C3N-00709-06
Normal
-0.1
CPT0124410004
Tumor
-0.1
CPT0221470005
Tumor
-0.1
CPT0093880003
Normal
-0.1
CPT0123770003
Normal
-0.1
C3L-00401-04
Normal
-0.1
CPT0237270005
Tumor
-0.1
CPT0276010003
Tumor
-0.1
CPT0127290003
Normal
-0.1
CPT0241320005
Tumor
-0.1
CPT0078180003
Normal
-0.1
CPT0198420004
Tumor
-0.1
CPT0174800003
Normal
-0.1
CPT0077810003
Normal
-0.1
CPT0123650003
Tumor
-0.1
CPT0017040004
Tumor
-0.1
CPT0078160004
Tumor
-0.1
CPT0197440004
Normal
-0.1
CPT0187550004
Tumor
-0.1
CPT0246840003
Tumor
-0.1
CPT0236710004
Normal
-0.1
CPT0237850004
Normal
-0.1
CPT0355200003
Normal
-0.1
CPT0209640005
Tumor
-0.1
CPT0247040003
Tumor
-0.1
CPT0081060004
Tumor
-0.1
CPT0162660004
Tumor
-0.1
CPT0224460004
Tumor
-0.1
CPT0264150003
Tumor
-0.1
CPT0246940003
Tumor
-0.2
CPT0088180004
Tumor
-0.2
CPT0238440005
Tumor
-0.2
CPT0226650004
Tumor
-0.2
CPT0077860003
Tumor
-0.2
CPT0109010004
Tumor
-0.2
CPT0108400003
Tumor
-0.2
CPT0208690004
Tumor
-0.2
CPT0248620003
Normal
-0.2
CPT0078090004
Tumor
-0.2
CPT0236560004
Tumor
-0.2
CPT0087890004
Tumor
-0.2
CPT0166780004
Normal
-0.2
CPT0011520003
Tumor
-0.2
CPT0091680003
Normal
-0.2
CPT0208840004
Tumor
-0.2
CPT0064570003
Normal
-0.2
CPT0207780004
Tumor
-0.2
CPT0246990003
Tumor
-0.2
CPT0077930004
Tumor
-0.2
CPT0238710004
Tumor
-0.2
CPT0198910005
Tumor
-0.2
CPT0236780005
Tumor
-0.2
CPT0162760003
Tumor
-0.2
CPT0078000003
Tumor
-0.2
CPT0081470004
Tumor
-0.2
CPT0238530005
Tumor
-0.2
CPT0109300004
Tumor
-0.2
CPT0238920004
Tumor
-0.2
CPT0063580003
Normal
-0.2
CPT0248410004
Tumor
-0.2
CPT0186040004
Tumor
-0.2
CPT0236700005
Tumor
-0.2
CPT0347850002
Normal
-0.2
CPT0236340004
Tumor
-0.2
CPT0239140004
Normal
-0.2
CPT0170260004
Normal
-0.2
CPT0000250017
Tumor
-0.2
CPT0246210004
Tumor
-0.2
C3L-00189-04
Normal
-0.2
CPT0183450005
Tumor
-0.2
CPT0209650004
Normal
-0.3
KoreanReference3
Tumor
-0.3
CPT0094940004
Tumor
-0.3
C3N-02573-03
Normal
-0.3
CPT0014040003
Tumor
-0.3
CPT0198440004
Normal
-0.3
KoreanReference1
Tumor
-0.3
CPT0236800004
Normal
-0.3
CPT0025750003
Tumor
-0.3
KoreanReference2
Tumor
-0.3
CPT0238640004
Normal
-0.3
CPT0238820005
Tumor
-0.3
CPT0248440003
Normal
-0.3
CPT0218220004
Normal
-0.3
CPT0217700004
Tumor
-0.3
CPT0347820002
Normal
-0.3
CPT0226490004
Tumor
-0.3
CPT0094230004
Tumor
-0.3
CPT0198930003
Normal
-0.3
CPT0238740004
Normal
-0.3
CPT0347760002
Normal
-0.3
CPT0246950003
Normal
-0.3
WU-PDA1
Tumor
-0.3
CPT0276030003
Normal
-0.4
CPT0183770004
Normal
-0.4
CPT0347790002
Normal
-0.4
CPT0246720003
Tumor
-0.4
CPT0246220004
Normal
-0.4
CPT0185920004
Tumor
-0.4
CPT0226570004
Tumor
-0.4
CPT0237920004
Normal
-0.4
CPT0197420004
Tumor
-0.4
CPT0246260004
Tumor
-0.4
CPT0209310004
Tumor
-0.4
CPT0174700004
Tumor
-0.4
CPT0187540004
Normal
-0.4
CPT0237910004
Tumor
-0.4
CPT0162780004
Normal
-0.4
CPT0208710004
Normal
-0.4
CPT0347880002
Normal
-0.4
CPT0127270003
Tumor
-0.5
CPT0238940004
Normal
-0.5
CPT0355190003
Normal
-0.5
CPT0208850004
Normal
-0.5
CPT0241500004
Tumor
-0.5
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.