Expression of APLP2 in renal cancer - The Human Protein Atlas

KIDNEY CHROMOPHOBE (KICH) - Interactive survival scatter plotⁱ

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

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 386.19
Median expressionⁱ: N/A
Median follow up timeⁱ: N/A
P scoreⁱ N/A
5-year survival highⁱ N/A
5-year survival lowⁱ N/A

TCGA RNA samplesⁱ

Average FPKM

295.7

Number of samples

Samples

Sample	Description	FPKM
TCGA-KL-8325-01A	56 years, female, white, stage:ii, dead, 725 days	578.5
TCGA-KN-8424-01A	42 years, female, white, stage:i, alive, 1983 days	514.4
TCGA-KL-8341-01A	41 years, male, asian, stage:iv, dead, 754 days	484.4
TCGA-KO-8415-01A	44 years, female, white, stage:i, alive, 2939 days	483.3
TCGA-KL-8340-01A	34 years, male, white, stage:ii, alive, 2024 days	459.2
TCGA-KL-8329-01A	57 years, female, asian, stage:i, alive, 2752 days	458.7
TCGA-KN-8423-01A	44 years, male, white, stage:i, alive, 788 days	449.4
TCGA-KL-8344-01A	51 years, male, white, stage:iii, alive, 876 days	437.7
TCGA-KL-8323-01A	57 years, female, white, stage:iii, dead, 1158 days	427.9
TCGA-KM-8442-01A	38 years, male, stage:ii, alive, 1437 days	419.5
TCGA-KO-8406-01A	17 years, female, white, stage:i, alive, 3145 days	408.9
TCGA-KL-8342-01A	45 years, female, white, stage:ii, alive, 2248 days	408.5
TCGA-KL-8334-01A	37 years, female, white, stage:iii, alive, 2949 days	407.0
TCGA-KN-8434-01A	65 years, female, white, stage:ii, alive, 1797 days	393.8
TCGA-KL-8336-01A	51 years, female, white, stage:iv, dead, 920 days	387.8
TCGA-KL-8343-01A	72 years, male, white, stage:iii, dead, 2172 days	386.4
TCGA-KL-8338-01A	51 years, male, white, stage:iii, alive, 2633 days	386.0
TCGA-KN-8426-01A	50 years, male, white, stage:iv, alive, 108 days	381.2
TCGA-KM-8440-01A	37 years, male, black or african american, stage:iii, alive, 1366 days	374.2
TCGA-KN-8418-01A	41 years, female, white, stage:ii, alive, 3935 days	366.2
TCGA-KO-8403-01A	49 years, male, white, stage:i, alive, 3208 days	356.0
TCGA-KO-8411-01A	58 years, male, white, stage:i, alive, 3958 days	346.1
TCGA-KO-8413-01A	46 years, male, white, stage:i, alive, 3038 days	345.7
TCGA-KO-8408-01A	47 years, male, white, stage:iii, dead, 507 days	343.7
TCGA-KN-8425-01A	53 years, male, white, stage:i, alive, 3179 days	332.5
TCGA-KN-8435-01A	59 years, male, white, stage:ii, alive, 3498 days	329.2
TCGA-KO-8410-01A	74 years, female, white, stage:i, alive, 3136 days	328.3
TCGA-KN-8421-01A	48 years, female, white, stage:ii, alive, 2674 days	325.7
TCGA-KN-8429-01A	38 years, female, white, stage:iii, alive, 2650 days	322.4
TCGA-KL-8333-01A	69 years, male, white, stage:ii, alive, 2991 days	305.9
TCGA-KO-8414-01A	50 years, female, white, stage:ii, alive, 3212 days	299.1
TCGA-KN-8432-01A	86 years, female, white, stage:ii, alive, 76 days	298.8
TCGA-KL-8337-01A	26 years, male, black or african american, stage:ii, alive, 1364 days	295.8
TCGA-KO-8407-01A	42 years, male, white, stage:ii, alive, 2820 days	292.6
TCGA-KL-8330-01A	44 years, female, black or african american, stage:ii, alive, 3304 days	291.6
TCGA-KL-8332-01A	55 years, male, white, stage:i, alive, 2582 days	274.4
TCGA-KL-8335-01A	68 years, male, white, stage:iii, alive, 2815 days	271.2
TCGA-KO-8417-01A	30 years, female, white, stage:i, alive, 2815 days	268.5
TCGA-KN-8419-01A	43 years, male, black or african american, stage:ii, alive, 714 days	266.6
TCGA-KN-8427-01A	54 years, male, white, stage:iv, alive, 30 days	256.2
TCGA-KL-8331-01A	48 years, female, white, stage:ii, alive, 3010 days	249.8
TCGA-KO-8416-01A	41 years, male, white, stage:iii, alive, 2752 days	244.8
TCGA-KL-8346-01A	62 years, male, white, stage:ii, alive, 1897 days	242.3
TCGA-KL-8324-01A	67 years, female, white, stage:ii, alive, 4676 days	231.2
TCGA-KN-8431-01A	35 years, female, stage:ii, alive, 588 days	223.4
TCGA-KO-8405-01A	29 years, male, white, stage:iii, alive, 3056 days	222.4
TCGA-KM-8438-01A	45 years, female, white, stage:ii, alive, 4622 days	211.9
TCGA-KM-8639-01A	67 years, male, white, stage:i, alive, 953 days	206.1
TCGA-KN-8433-01A	46 years, female, white, stage:iii, alive, 341 days	200.0
TCGA-KN-8428-01A	71 years, male, white, stage:ii, dead, 1590 days	196.3
TCGA-KL-8345-01A	75 years, male, white, stage:iii, alive, 1665 days	187.3
TCGA-KM-8439-01A	30 years, male, white, stage:i, alive, 708 days	183.4
TCGA-KN-8437-01A	42 years, female, white, stage:i, alive, 3068 days	181.2
TCGA-KO-8409-01A	69 years, male, white, stage:ii, alive, 3180 days	159.0
TCGA-KM-8443-01A	58 years, male, white, stage:ii, alive, 1520 days	152.7
TCGA-KM-8441-01A	61 years, female, white, stage:i, alive, 876 days	147.7
TCGA-KL-8339-01A	67 years, male, white, stage:iv, dead, 855 days	141.6
TCGA-KM-8477-01A	56 years, male, white, stage:i, alive, 1553 days	134.4
TCGA-KL-8326-01A	69 years, male, white, stage:iii, alive, 3322 days	132.4
TCGA-KL-8327-01A	46 years, female, white, stage:i, alive, 4169 days	116.4
TCGA-KN-8436-01A	63 years, male, white, stage:ii, alive, 1288 days	110.9
TCGA-KL-8328-01A	60 years, male, white, stage:ii, alive, 3127 days	109.4
TCGA-KM-8476-01A	47 years, male, white, stage:i, alive, 3745 days	92.8
TCGA-KO-8404-01A	78 years, male, white, stage:iv, dead, 325 days	85.4
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