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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 interactive Survival Scatter plot allows for the cutoff to be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Survival analysis". Under the Survival Scatter plot the p-score landscape is shown together with the difference in median between survival time for patients who have died with respect to high and low expression. This is intended to aid the user in exploring custom cutoffs.
Individual patient data is displayed in an interactive plot and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off).
Based on the FPKM value of each gene, we classified the patients into two groups and examined their prognoses. In the analysis, we excluded genes with low expression, i.e., those with a median expression among samples less than FPKM 1. The prognosis of each group of patients was examined by Kaplan-Meier survival estimators, and the survival outcomes of the two groups were compared by log-rank tests. To choose the best FPKM cut-offs for grouping the patients most significantly, all FPKM values from the 20th to 80th percentiles were used to group the patients, significant differences in the survival outcomes of the groups were examined and the value yielding the lowest log-rank P value is selected.
: 1143.14
Median expression: N/A
Median follow up time: N/A P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A 5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A 5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as median FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average FPKM
1101.3
Number of samples
64
Samples
Sample
Description
FPKM
TCGA-KO-8404-01A
78 years, male, white, stage:iv, dead, 325 days
3049.5
TCGA-KM-8441-01A
61 years, female, white, stage:i, alive, 876 days
1727.5
TCGA-KL-8339-01A
67 years, male, white, stage:iv, dead, 855 days
1626.1
TCGA-KO-8405-01A
29 years, male, white, stage:iii, alive, 3056 days
1610.8
TCGA-KM-8442-01A
38 years, male, stage:ii, alive, 1437 days
1573.1
TCGA-KL-8323-01A
57 years, female, white, stage:iii, dead, 1158 days
1569.2
TCGA-KN-8426-01A
50 years, male, white, stage:iv, alive, 108 days
1525.0
TCGA-KL-8336-01A
51 years, female, white, stage:iv, dead, 920 days
1512.9
TCGA-KO-8413-01A
46 years, male, white, stage:i, alive, 3038 days
1512.1
TCGA-KO-8415-01A
44 years, female, white, stage:i, alive, 2939 days
1478.6
TCGA-KL-8329-01A
57 years, female, asian, stage:i, alive, 2752 days
1463.9
TCGA-KN-8419-01A
43 years, male, black or african american, stage:ii, alive, 714 days
1385.6
TCGA-KL-8328-01A
60 years, male, white, stage:ii, alive, 3127 days
1362.2
TCGA-KL-8334-01A
37 years, female, white, stage:iii, alive, 2949 days
1345.1
TCGA-KN-8434-01A
65 years, female, white, stage:ii, alive, 1797 days
1338.2
TCGA-KN-8427-01A
54 years, male, white, stage:iv, alive, 30 days
1319.4
TCGA-KL-8346-01A
62 years, male, white, stage:ii, alive, 1897 days
1278.4
TCGA-KL-8331-01A
48 years, female, white, stage:ii, alive, 3010 days
1230.8
TCGA-KO-8408-01A
47 years, male, white, stage:iii, dead, 507 days
1215.5
TCGA-KN-8425-01A
53 years, male, white, stage:i, alive, 3179 days
1163.6
TCGA-KM-8443-01A
58 years, male, white, stage:ii, alive, 1520 days
1162.7
TCGA-KL-8343-01A
72 years, male, white, stage:iii, dead, 2172 days
1145.7
TCGA-KN-8432-01A
86 years, female, white, stage:ii, alive, 76 days
1140.6
TCGA-KO-8406-01A
17 years, female, white, stage:i, alive, 3145 days
1140.1
TCGA-KN-8435-01A
59 years, male, white, stage:ii, alive, 3498 days
1103.1
TCGA-KN-8429-01A
38 years, female, white, stage:iii, alive, 2650 days
1098.1
TCGA-KL-8338-01A
51 years, male, white, stage:iii, alive, 2633 days
1085.3
TCGA-KL-8333-01A
69 years, male, white, stage:ii, alive, 2991 days
1076.5
TCGA-KN-8428-01A
71 years, male, white, stage:ii, dead, 1590 days
1073.7
TCGA-KN-8424-01A
42 years, female, white, stage:i, alive, 1983 days
1070.4
TCGA-KL-8324-01A
67 years, female, white, stage:ii, alive, 4676 days
1065.2
TCGA-KL-8342-01A
45 years, female, white, stage:ii, alive, 2248 days
1061.4
TCGA-KL-8330-01A
44 years, female, black or african american, stage:ii, alive, 3304 days
1060.0
TCGA-KO-8403-01A
49 years, male, white, stage:i, alive, 3208 days
1034.8
TCGA-KM-8439-01A
30 years, male, white, stage:i, alive, 708 days
1018.5
TCGA-KM-8438-01A
45 years, female, white, stage:ii, alive, 4622 days
1009.6
TCGA-KO-8417-01A
30 years, female, white, stage:i, alive, 2815 days
1008.7
TCGA-KO-8409-01A
69 years, male, white, stage:ii, alive, 3180 days
1005.8
TCGA-KL-8341-01A
41 years, male, asian, stage:iv, dead, 754 days
997.8
TCGA-KO-8407-01A
42 years, male, white, stage:ii, alive, 2820 days
977.5
TCGA-KO-8410-01A
74 years, female, white, stage:i, alive, 3136 days
973.4
TCGA-KM-8476-01A
47 years, male, white, stage:i, alive, 3745 days
971.4
TCGA-KL-8340-01A
34 years, male, white, stage:ii, alive, 2024 days
966.5
TCGA-KO-8414-01A
50 years, female, white, stage:ii, alive, 3212 days
963.0
TCGA-KL-8325-01A
56 years, female, white, stage:ii, dead, 725 days
946.9
TCGA-KN-8418-01A
41 years, female, white, stage:ii, alive, 3935 days
943.8
TCGA-KL-8326-01A
69 years, male, white, stage:iii, alive, 3322 days
928.1
TCGA-KN-8437-01A
42 years, female, white, stage:i, alive, 3068 days
863.3
TCGA-KL-8345-01A
75 years, male, white, stage:iii, alive, 1665 days
836.0
TCGA-KN-8423-01A
44 years, male, white, stage:i, alive, 788 days
832.3
TCGA-KO-8416-01A
41 years, male, white, stage:iii, alive, 2752 days
823.1
TCGA-KN-8431-01A
35 years, female, stage:ii, alive, 588 days
797.4
TCGA-KL-8344-01A
51 years, male, white, stage:iii, alive, 876 days
787.3
TCGA-KN-8436-01A
63 years, male, white, stage:ii, alive, 1288 days
773.9
TCGA-KN-8433-01A
46 years, female, white, stage:iii, alive, 341 days
760.5
TCGA-KL-8337-01A
26 years, male, black or african american, stage:ii, alive, 1364 days
752.1
TCGA-KM-8440-01A
37 years, male, black or african american, stage:iii, alive, 1366 days
738.4
TCGA-KM-8639-01A
67 years, male, white, stage:i, alive, 953 days
696.1
TCGA-KO-8411-01A
58 years, male, white, stage:i, alive, 3958 days
662.8
TCGA-KN-8421-01A
48 years, female, white, stage:ii, alive, 2674 days
651.4
TCGA-KL-8332-01A
55 years, male, white, stage:i, alive, 2582 days
617.8
TCGA-KM-8477-01A
56 years, male, white, stage:i, alive, 1553 days
575.3
TCGA-KL-8327-01A
46 years, female, white, stage:i, alive, 4169 days
532.1
TCGA-KL-8335-01A
68 years, male, white, stage:iii, alive, 2815 days
The Human Protein Atlas project is funded
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