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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.
DYNLL1 is not prognostic in Bladder Urothelial Carcinoma (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
515.8
Number of samples
169
Samples
Sample
Description
TPM
TCGA-FD-A3N5-01A
69 years, male, black or african american, stage:Stage II, dead, 685 days
1123.4
TCGA-GV-A40E-01A
75 years, male, white, stage:Stage II, dead, 261 days
917.4
TCGA-XF-A9SZ-01A
79 years, male, white, stage:Stage IV, dead, 859 days
902.0
TCGA-FD-A62P-01A
76 years, male, white, stage:Stage II, dead, 191 days
869.3
TCGA-G2-A3IB-01A
66 years, male, black or african american, stage:Stage II, dead, 220 days
868.5
TCGA-FD-A5BX-01A
82 years, male, white, stage:Stage IV, dead, 173 days
866.9
TCGA-E7-A97P-01A
73 years, male, asian, stage:Stage II, dead, 437 days
849.6
TCGA-E5-A4TZ-01A
64 years, male, white, stage:Stage IV, dead, 467 days
840.0
TCGA-ZF-A9RN-01A
67 years, female, white, stage:Stage III, dead, 615 days
835.1
TCGA-BL-A3JM-01A
62 years, male, white, stage:Stage III, dead, 205 days
834.9
TCGA-FD-A6TD-01A
77 years, male, white, stage:Stage III, dead, 386 days
820.4
TCGA-ZF-AA5N-01A
62 years, female, white, stage:Stage IV, dead, 168 days
804.1
TCGA-FD-A3SM-01A
70 years, male, white, stage:Stage IV, dead, 547 days
803.5
TCGA-BT-A3PH-01A
76 years, male, white, stage:Stage IV, dead, 142 days
788.4
TCGA-DK-A1A5-01A
79 years, male, white, stage:Stage II, dead, 65 days
782.1
TCGA-4Z-AA80-01A
73 years, male, white, stage:Stage II, dead, 19 days
772.1
TCGA-ZF-A9RD-01A
75 years, female, white, stage:Stage IV, dead, 408 days
771.2
TCGA-DK-AA6L-01A
48 years, male, white, stage:Stage IV, dead, 1163 days
750.7
TCGA-FD-A3B5-01A
86 years, male, black or african american, stage:Stage IV, dead, 272 days
748.4
TCGA-DK-A1AB-01A
74 years, female, white, stage:Stage IV, dead, 508 days
734.8
TCGA-FJ-A871-01A
49 years, male, white, stage:Stage III, dead, 272 days
729.8
TCGA-C4-A0EZ-01A
69 years, female, stage:Stage IV, dead, 273 days
716.1
TCGA-4Z-AA86-01A
66 years, male, black or african american, stage:Stage IV, dead, 311 days
714.8
TCGA-5N-A9KI-01A
76 years, female, white, stage:Stage III, dead, 76 days
707.0
TCGA-FD-A3B3-01A
74 years, female, white, stage:Stage III, dead, 974 days
706.6
TCGA-ZF-AA56-01A
79 years, female, white, stage:Stage III, dead, 259 days
697.1
TCGA-E7-A3X6-01A
70 years, male, white, stage:Stage II, dead, 904 days
680.6
TCGA-BT-A20X-01A
56 years, male, white, stage:Stage IV, dead, 251 days
675.3
TCGA-XF-AAN7-01A
60 years, male, white, stage:Stage IV, dead, 565 days
673.5
TCGA-FD-A3B4-01A
55 years, female, black or african american, stage:Stage III, dead, 510 days
663.6
TCGA-GU-A767-01A
81 years, male, white, stage:Stage IV, dead, 144 days
661.3
TCGA-GU-A762-01A
87 years, male, white, stage:Stage IV, dead, 232 days
660.6
TCGA-XF-A9ST-01A
68 years, male, white, stage:Stage III, dead, 128 days
659.1
TCGA-ZF-AA4R-01A
67 years, male, white, stage:Stage IV, dead, 1036 days
658.4
TCGA-2F-A9KP-01A
66 years, male, white, stage:Stage IV, dead, 364 days
656.6
TCGA-C4-A0F7-01A
77 years, male, stage:Stage IV, dead, 62 days
649.0
TCGA-FD-A43Y-01A
65 years, male, white, stage:Stage III, dead, 474 days
642.6
TCGA-BT-A20T-01A
63 years, male, white, stage:Stage IV, dead, 453 days
633.9
TCGA-BT-A2LB-01A
73 years, female, white, stage:Stage III, dead, 492 days
633.3
TCGA-G2-A2ES-01A
85 years, male, white, stage:Stage II, dead, 1004 days
629.6
TCGA-UY-A78M-01A
81 years, female, asian, stage:Stage IV, dead, 690 days
623.6
TCGA-FD-A3B6-01A
75 years, male, white, stage:Stage II, dead, 1005 days
622.9
TCGA-FD-A5C0-01A
61 years, male, white, stage:Stage IV, dead, 550 days
618.1
TCGA-FD-A3SS-01A
66 years, male, white, stage:Stage IV, dead, 391 days
616.6
TCGA-CU-A72E-01A
76 years, male, white, stage:Stage IV, dead, 413 days
616.4
TCGA-YC-A9TC-01A
71 years, male, white, stage:Stage IV, dead, 20 days
599.8
TCGA-XF-A8HF-01A
80 years, male, white, stage:Stage III, dead, 2954 days
596.4
TCGA-DK-AA6Q-01A
61 years, female, white, stage:Stage IV, dead, 413 days
592.2
TCGA-FD-A6TG-01A
73 years, male, white, stage:Stage IV, dead, 93 days
590.4
TCGA-BT-A20N-01A
72 years, male, stage:Stage III, dead, 795 days
588.2
TCGA-DK-A2I2-01A
63 years, female, white, stage:Stage IV, dead, 237 days
588.0
TCGA-G2-A2EO-01A
69 years, male, white, stage:Stage III, dead, 1804 days
587.2
TCGA-XF-A9SX-01A
63 years, female, white, stage:Stage IV, dead, 719 days
585.3
TCGA-ZF-AA54-01A
71 years, male, white, stage:Stage III, dead, 590 days
584.6
TCGA-FJ-A3ZE-01A
65 years, male, white, stage:Stage IV, dead, 324 days
583.9
TCGA-HQ-A5ND-01A
78 years, male, stage:Stage IV, dead, 274 days
582.5
TCGA-DK-AA6W-01A
78 years, male, white, stage:Stage II, dead, 415 days
581.4
TCGA-HQ-A5NE-01A
57 years, male, stage:Stage III, dead, 370 days
579.5
TCGA-2F-A9KO-01A
63 years, male, white, stage:Stage IV, dead, 734 days
569.8
TCGA-4Z-AA7S-01A
66 years, male, black or african american, stage:Stage III, dead, 1064 days
560.5
TCGA-ZF-A9RE-01A
78 years, female, white, stage:Stage II, dead, 106 days
558.4
TCGA-DK-A1A3-01A
60 years, male, white, stage:Stage IV, dead, 665 days
556.0
TCGA-DK-A3IQ-01A
74 years, male, white, stage:Stage III, dead, 539 days
554.3
TCGA-K4-A5RI-01A
67 years, female, white, stage:Stage III, dead, 356 days
553.8
TCGA-XF-A8HI-01A
57 years, female, white, stage:Stage IV, dead, 544 days
540.7
TCGA-XF-AAMT-01A
75 years, female, white, stage:Stage IV, dead, 90 days
539.1
TCGA-GU-A42R-01A
68 years, male, white, stage:Stage IV, dead, 577 days
534.9
TCGA-G2-A2EL-01A
77 years, male, white, stage:Stage II, dead, 819 days
534.7
TCGA-ZF-AA4U-01A
70 years, male, white, stage:Stage III, dead, 262 days
533.0
TCGA-XF-A9SK-01A
65 years, male, white, stage:Stage IV, dead, 486 days
528.6
TCGA-XF-AAMH-01A
80 years, male, white, stage:Stage IV, dead, 344 days
525.4
TCGA-4Z-AA7R-01A
73 years, male, black or african american, stage:Stage IV, dead, 522 days
524.1
TCGA-DK-A3IM-01A
76 years, male, white, stage:Stage III, dead, 248 days
519.7
TCGA-K4-A4AC-01A
83 years, male, white, stage:Stage II, dead, 278 days
517.1
TCGA-XF-A9SP-01A
59 years, male, white, stage:Stage III, dead, 454 days
514.0
TCGA-BL-A13J-01A
65 years, male, white, stage:Stage IV, dead, 81 days
512.0
TCGA-DK-A2HX-01A
80 years, female, white, stage:Stage IV, dead, 1420 days
511.3
TCGA-XF-AAN1-01A
75 years, female, stage:Stage III, dead, 941 days
505.4
TCGA-ZF-AA4N-01A
74 years, male, white, stage:Stage II, dead, 88 days
503.1
TCGA-CU-A0YN-01A
60 years, male, white, stage:Stage III, dead, 393 days
502.8
TCGA-UY-A78N-01A
80 years, male, white, stage:Stage IV, dead, 2641 days
502.2
TCGA-FD-A3SR-01A
68 years, male, white, stage:Stage IV, dead, 602 days
499.1
TCGA-CF-A9FL-01A
85 years, male, asian, stage:Stage III, dead, 565 days
495.1
TCGA-BT-A20U-01A
70 years, female, white, stage:Stage III, dead, 455 days
494.0
TCGA-GC-A3I6-01A
45 years, male, white, stage:Stage III, dead, 630 days
488.1
TCGA-FD-A6TH-01A
63 years, male, white, stage:Stage IV, dead, 131 days
487.6
TCGA-FD-A5BZ-01A
77 years, female, white, stage:Stage IV, dead, 835 days
482.0
TCGA-BT-A2LD-01A
78 years, female, white, stage:Stage IV, dead, 623 days
481.7
TCGA-FJ-A3Z9-01A
72 years, male, white, stage:'--, dead, 385 days
481.2
TCGA-FD-A3SJ-01A
59 years, male, white, stage:Stage IV, dead, 739 days
478.1
TCGA-GU-A42Q-01A
67 years, male, white, stage:Stage III, dead, 344 days
476.1
TCGA-G2-A2EC-01A
58 years, female, black or african american, stage:Stage II, dead, 696 days
475.9
TCGA-4Z-AA82-01A
59 years, male, black or african american, stage:Stage IV, dead, 1556 days
473.4
TCGA-BT-A3PK-01A
80 years, male, white, stage:Stage II, dead, 303 days
472.8
TCGA-XF-AAMW-01A
79 years, female, white, stage:Stage IV, dead, 253 days
471.3
TCGA-DK-A3IK-01A
87 years, male, white, stage:Stage IV, dead, 146 days
469.9
TCGA-XF-A9SU-01A
74 years, female, white, stage:Stage IV, dead, 182 days
466.6
TCGA-DK-A3IN-01A
72 years, male, white, stage:Stage III, dead, 250 days
466.4
TCGA-BT-A20W-01A
71 years, male, white, stage:Stage II, dead, 254 days
464.4
TCGA-CU-A0YR-01A
83 years, male, white, stage:Stage IV, dead, 460 days
463.3
TCGA-BT-A0S7-01A
75 years, male, white, stage:Stage III, dead, 200 days
461.9
TCGA-XF-AAMX-01A
87 years, female, black or african american, stage:Stage III, dead, 206 days
459.8
TCGA-GU-AATQ-01A
68 years, male, white, stage:Stage III, dead, 213 days
457.2
TCGA-G2-A3IE-01A
51 years, male, white, stage:Stage II, dead, 612 days
454.9
TCGA-BT-A20V-01A
59 years, female, black or african american, stage:Stage IV, dead, 154 days
450.7
TCGA-XF-A9T8-01A
64 years, male, white, stage:Stage III, dead, 418 days
446.8
TCGA-FD-A3SL-01A
60 years, male, white, stage:Stage IV, dead, 712 days
446.2
TCGA-XF-A9T2-01A
54 years, male, white, stage:Stage III, dead, 575 days
443.4
TCGA-XF-AAML-01A
75 years, male, white, stage:Stage II, dead, 232 days
441.4
TCGA-XF-A9SV-01A
82 years, male, white, stage:Stage IV, dead, 388 days
440.3
TCGA-XF-AAN2-01A
73 years, male, white, stage:Stage II, dead, 1869 days
439.8
TCGA-CF-A47T-01A
58 years, female, asian, stage:Stage II, dead, 385 days
436.2
TCGA-FD-A6TF-01A
80 years, female, white, stage:Stage IV, dead, 69 days
435.9
TCGA-GC-A3BM-01A
70 years, male, white, stage:Stage II, dead, 651 days
435.7
TCGA-CU-A5W6-01A
70 years, male, white, stage:Stage III, dead, 56 days
431.3
TCGA-BT-A20J-01A
75 years, male, white, stage:Stage II, dead, 579 days
430.7
TCGA-2F-A9KR-01A
59 years, female, stage:Stage III, dead, 3183 days
429.3
TCGA-FD-A3SO-01A
68 years, male, white, stage:Stage IV, dead, 168 days
429.2
TCGA-4Z-AA81-01A
80 years, male, white, stage:Stage II, dead, 1270 days
425.9
TCGA-GV-A3QH-01A
67 years, male, white, stage:Stage II, dead, 258 days
421.3
TCGA-DK-A3IL-01A
79 years, female, white, stage:Stage IV, dead, 413 days
418.9
TCGA-BT-A0YX-01A
70 years, female, white, stage:Stage III, dead, 400 days
417.7
TCGA-DK-A3IU-01A
58 years, male, white, stage:Stage II, dead, 706 days
413.4
TCGA-DK-A3X2-01A
85 years, male, white, stage:Stage IV, dead, 547 days
406.7
TCGA-XF-A8HH-01A
61 years, female, white, stage:Stage IV, dead, 57 days
406.3
TCGA-FD-A62S-01A
60 years, female, black or african american, stage:Stage III, dead, 406 days
404.9
TCGA-UY-A78K-01A
60 years, male, white, stage:Stage IV, dead, 536 days
401.3
TCGA-XF-AAN4-01A
77 years, female, white, stage:Stage III, dead, 823 days
399.0
TCGA-XF-AAMJ-01A
70 years, male, asian, stage:Stage III, dead, 1670 days
390.6
TCGA-GV-A3QF-01A
79 years, male, white, stage:Stage IV, dead, 617 days
388.8
TCGA-XF-AAMZ-01A
81 years, female, white, stage:Stage IV, dead, 1348 days
377.6
TCGA-XF-AAN8-01A
74 years, female, white, stage:Stage III, dead, 118 days
377.5
TCGA-XF-A8HC-01A
79 years, male, asian, stage:Stage IV, dead, 200 days
375.5
TCGA-BT-A20Q-01A
73 years, male, white, stage:Stage IV, dead, 593 days
373.2
TCGA-G2-AA3C-01A
66 years, male, white, stage:Stage IV, dead, 211 days
369.9
TCGA-SY-A9G0-01A
82 years, male, white, stage:Stage IV, dead, 1008 days
369.1
TCGA-FD-A6TI-01A
73 years, male, white, stage:Stage IV, dead, 294 days
364.4
TCGA-ZF-A9R0-01A
82 years, male, white, stage:Stage III, dead, 680 days
362.8
TCGA-BT-A20P-01A
81 years, female, white, stage:Stage III, dead, 544 days
362.3
TCGA-5N-A9KM-01A
73 years, female, white, stage:Stage III, dead, 530 days
359.8
TCGA-BT-A20O-01A
75 years, male, white, stage:Stage III, dead, 370 days
359.4
TCGA-XF-A9SJ-01A
83 years, male, white, stage:Stage IV, dead, 98 days
357.9
TCGA-DK-AA75-01A
82 years, male, white, stage:Stage III, dead, 340 days
355.4
TCGA-ZF-A9R3-01A
53 years, female, white, stage:Stage II, dead, 949 days
341.5
TCGA-FD-A3SQ-01A
62 years, male, white, stage:Stage IV, dead, 1423 days
336.7
TCGA-FD-A62O-01A
74 years, male, white, stage:Stage IV, dead, 216 days
335.7
TCGA-CU-A0YO-01A
84 years, male, white, stage:Stage IV, dead, 149 days
335.2
TCGA-XF-A9SH-01A
65 years, female, asian, stage:Stage II, dead, 1971 days
332.2
TCGA-GU-AATO-01A
75 years, male, white, stage:Stage IV, dead, 324 days
329.9
TCGA-4Z-AA7Q-01A
79 years, male, white, stage:Stage III, dead, 510 days
327.3
TCGA-FD-A5BV-01A
47 years, female, white, stage:Stage III, dead, 163 days
324.5
TCGA-E7-A4XJ-01A
66 years, male, asian, stage:Stage II, dead, 68 days
319.7
TCGA-FD-A3B7-01A
66 years, male, black or african american, stage:Stage III, dead, 122 days
311.8
TCGA-2F-A9KW-01A
67 years, female, white, stage:Stage III, dead, 254 days
308.0
TCGA-4Z-AA7N-01A
65 years, male, white, stage:Stage III, dead, 1367 days
302.9
TCGA-XF-A9SL-01A
69 years, male, white, stage:Stage IV, dead, 2020 days
301.7
TCGA-GU-A42P-01A
72 years, male, white, stage:Stage IV, dead, 332 days
300.5
TCGA-XF-AAN0-01A
68 years, male, white, stage:Stage IV, dead, 1718 days
289.5
TCGA-E7-A541-01A
66 years, male, white, stage:Stage II, dead, 778 days
275.4
TCGA-XF-AAME-01A
64 years, female, white, stage:Stage II, dead, 2828 days
275.2
TCGA-FD-A5BT-01A
84 years, male, white, stage:Stage III, dead, 328 days
274.8
TCGA-ZF-AA4T-01A
65 years, male, white, stage:Stage IV, dead, 599 days
273.0
TCGA-ZF-AA52-01A
70 years, male, white, stage:Stage III, dead, 1077 days
268.5
TCGA-XF-A9SW-01A
85 years, male, white, stage:Stage IV, dead, 362 days
264.3
TCGA-S5-A6DX-01A
83 years, male, white, stage:Stage IV, dead, 56 days
246.9
TCGA-BL-A13I-01A
57 years, female, white, stage:Stage III, dead, 223 days
243.2
TCGA-GV-A3JV-01A
66 years, male, white, stage:Stage IV, dead, 434 days
223.2
TCGA-ZF-A9R9-01A
58 years, male, white, stage:Stage IV, dead, 864 days
154.9
TCGA-XF-A8HG-01A
69 years, male, white, stage:Stage III, dead, 467 days
90.1
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UROTHELIAL 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.