Expression of FTL 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: 1639.84
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

2504.0

Number of samples

Samples

Sample	Description	FPKM
TCGA-KO-8405-01A	29 years, male, white, stage:iii, alive, 3056 days	13783.0
TCGA-KO-8404-01A	78 years, male, white, stage:iv, dead, 325 days	9049.0
TCGA-KO-8403-01A	49 years, male, white, stage:i, alive, 3208 days	4182.3
TCGA-KM-8639-01A	67 years, male, white, stage:i, alive, 953 days	4091.4
TCGA-KL-8329-01A	57 years, female, asian, stage:i, alive, 2752 days	4069.9
TCGA-KN-8426-01A	50 years, male, white, stage:iv, alive, 108 days	3859.9
TCGA-KN-8427-01A	54 years, male, white, stage:iv, alive, 30 days	3389.2
TCGA-KL-8338-01A	51 years, male, white, stage:iii, alive, 2633 days	3303.6
TCGA-KN-8428-01A	71 years, male, white, stage:ii, dead, 1590 days	3271.2
TCGA-KO-8416-01A	41 years, male, white, stage:iii, alive, 2752 days	3240.2
TCGA-KN-8425-01A	53 years, male, white, stage:i, alive, 3179 days	3051.3
TCGA-KL-8346-01A	62 years, male, white, stage:ii, alive, 1897 days	3048.7
TCGA-KM-8443-01A	58 years, male, white, stage:ii, alive, 1520 days	3039.0
TCGA-KL-8331-01A	48 years, female, white, stage:ii, alive, 3010 days	2972.1
TCGA-KN-8434-01A	65 years, female, white, stage:ii, alive, 1797 days	2936.7
TCGA-KL-8340-01A	34 years, male, white, stage:ii, alive, 2024 days	2798.8
TCGA-KO-8415-01A	44 years, female, white, stage:i, alive, 2939 days	2771.0
TCGA-KM-8476-01A	47 years, male, white, stage:i, alive, 3745 days	2770.9
TCGA-KO-8408-01A	47 years, male, white, stage:iii, dead, 507 days	2701.9
TCGA-KN-8421-01A	48 years, female, white, stage:ii, alive, 2674 days	2693.5
TCGA-KL-8330-01A	44 years, female, black or african american, stage:ii, alive, 3304 days	2674.3
TCGA-KO-8414-01A	50 years, female, white, stage:ii, alive, 3212 days	2634.3
TCGA-KL-8336-01A	51 years, female, white, stage:iv, dead, 920 days	2613.7
TCGA-KN-8433-01A	46 years, female, white, stage:iii, alive, 341 days	2477.2
TCGA-KL-8332-01A	55 years, male, white, stage:i, alive, 2582 days	2451.4
TCGA-KL-8334-01A	37 years, female, white, stage:iii, alive, 2949 days	2402.1
TCGA-KL-8324-01A	67 years, female, white, stage:ii, alive, 4676 days	2386.3
TCGA-KM-8438-01A	45 years, female, white, stage:ii, alive, 4622 days	2223.2
TCGA-KN-8424-01A	42 years, female, white, stage:i, alive, 1983 days	2191.6
TCGA-KO-8411-01A	58 years, male, white, stage:i, alive, 3958 days	2190.8
TCGA-KM-8442-01A	38 years, male, stage:ii, alive, 1437 days	2164.3
TCGA-KN-8429-01A	38 years, female, white, stage:iii, alive, 2650 days	2162.6
TCGA-KL-8323-01A	57 years, female, white, stage:iii, dead, 1158 days	2152.5
TCGA-KO-8407-01A	42 years, male, white, stage:ii, alive, 2820 days	2150.4
TCGA-KO-8406-01A	17 years, female, white, stage:i, alive, 3145 days	2123.8
TCGA-KL-8344-01A	51 years, male, white, stage:iii, alive, 876 days	2089.8
TCGA-KN-8436-01A	63 years, male, white, stage:ii, alive, 1288 days	2059.8
TCGA-KL-8342-01A	45 years, female, white, stage:ii, alive, 2248 days	2039.5
TCGA-KL-8339-01A	67 years, male, white, stage:iv, dead, 855 days	2017.8
TCGA-KN-8435-01A	59 years, male, white, stage:ii, alive, 3498 days	1987.8
TCGA-KO-8413-01A	46 years, male, white, stage:i, alive, 3038 days	1981.7
TCGA-KO-8417-01A	30 years, female, white, stage:i, alive, 2815 days	1978.5
TCGA-KL-8328-01A	60 years, male, white, stage:ii, alive, 3127 days	1942.5
TCGA-KM-8440-01A	37 years, male, black or african american, stage:iii, alive, 1366 days	1935.4
TCGA-KL-8333-01A	69 years, male, white, stage:ii, alive, 2991 days	1920.5
TCGA-KN-8432-01A	86 years, female, white, stage:ii, alive, 76 days	1882.7
TCGA-KN-8418-01A	41 years, female, white, stage:ii, alive, 3935 days	1654.6
TCGA-KL-8343-01A	72 years, male, white, stage:iii, dead, 2172 days	1625.0
TCGA-KO-8409-01A	69 years, male, white, stage:ii, alive, 3180 days	1544.9
TCGA-KM-8441-01A	61 years, female, white, stage:i, alive, 876 days	1533.6
TCGA-KM-8439-01A	30 years, male, white, stage:i, alive, 708 days	1442.6
TCGA-KN-8423-01A	44 years, male, white, stage:i, alive, 788 days	1391.3
TCGA-KL-8325-01A	56 years, female, white, stage:ii, dead, 725 days	1387.5
TCGA-KL-8337-01A	26 years, male, black or african american, stage:ii, alive, 1364 days	1372.2
TCGA-KL-8335-01A	68 years, male, white, stage:iii, alive, 2815 days	1344.4
TCGA-KL-8345-01A	75 years, male, white, stage:iii, alive, 1665 days	1312.4
TCGA-KM-8477-01A	56 years, male, white, stage:i, alive, 1553 days	1223.1
TCGA-KO-8410-01A	74 years, female, white, stage:i, alive, 3136 days	1180.7
TCGA-KL-8327-01A	46 years, female, white, stage:i, alive, 4169 days	1024.0
TCGA-KL-8326-01A	69 years, male, white, stage:iii, alive, 3322 days	1008.6
TCGA-KN-8437-01A	42 years, female, white, stage:i, alive, 3068 days	922.3
TCGA-KN-8419-01A	43 years, male, black or african american, stage:ii, alive, 714 days	852.9
TCGA-KN-8431-01A	35 years, female, stage:ii, alive, 588 days	807.9
TCGA-KL-8341-01A	41 years, male, asian, stage:iv, dead, 754 days	770.6
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