AMLBreast cancerColon cancerGastric cancerLung cancerMyelomaOvarian cancerPancreatic cancer Breast cancerLiver cancerPan-cancer Breast cancerLiver cancerPan-cancer Breast cancer Custom Pan-cancer DNA Immunotherapy

Processing...

Plot options

 

Plot line thickness:	1 px 2 px
Plot text size:	normal large huge
Plot text format:	regular bold
Plot title:
P-value position:	top right bottom right
Legend position:	bottom left top right

Generate high resolution TIFF file:
Invert HR values below 1:
Export plot data as text:

More options

Compute median over entire dataset:
Backward reference:

Affy id/ Gene symbol:

Use multiple genes Use list of genes Use mean expression of selected genes Use ratio of two genes Filter by median expression more genes param Example Example input for multiple genes: 1007_s_at 1 200000_s_at -1 31637_s_at 0.5 40016_g_at -2 Explanation: first: normal, second: gene is inverted, third: gene has weight, fourth: gene has weight and is inverted You can also use following format: 1007_s_at, 1 200000_s_at, -1 31637_s_at, 0.5 40016_g_at, -2

Variant type:

all mutations disruptive mutations coding mutations

Survival:	Overall survival (n=5997)Relapse free survival (n=3722)
Follow up threshold:	all2 months4 months6 months12 months18 months24 months30 months36 months48 months60 months120 months180 months240 months		Censore at threshold:

---

	Select all (n=7874)
	Bladder Carcinoma (n=408)
	Breast cancer (n=980)
	Cervical squamous cell carcinoma (n=286)
	Colon adenocarcinoma (n=394)
	Cutaneous melanoma (n=465)
	Esophageal Squamous Cell Carcinoma (n=0)
	Head-neck squamous cell carcinoma (n=494)
	Kidney renal clear cell carcinoma (n=332)
	Kidney renal papillary cell carcinoma (n=278)
	Liver hepatocellular carcinoma (n=358)
	Low grade glioma (n=501)
	Lung adenocarcinoma (n=508)
	Lung squamous cell carcinoma (n=488)
	Ovarian cancer (n=272)
	Prostate adenocarcinoma (n=492)
	Sarcoma (n=235)
	Stomach adenocarcinoma (n=372)
	Thyroid carcinoma (n=485)
	Uterine corpus endometrial carcinoma (n=526)

Restrict analysis to subtypes...

Stage:	all 1 (n=1549) 2 (n=1336) 3 (n=1051) 4 (n=593)
Gender:	all female (n=3619) male (n=2403)
Race:	all white (n=4337) asian (n=471) black/african american (n=643)
Grade:	all 1 (n=247) 2 (n=1028) 3 (n=1219) 4 (n=56)
Mutation burden:	all high (n=3049) low (n=2973)

Restrict analysis based on cellular content…

Basophils:	all enriched (n=2746) decreased (n=2903)
B-cells:	all enriched (n=3114) decreased (n=2535)
CD4+ memory T-cells:	all enriched (n=3111) decreased (n=2538)
CD8+ T-cells:	all enriched (n=2809) decreased (n=2840)
Eosinophils:	all enriched (n=2437) decreased (n=3212)
Macrophages:	all enriched (n=3337) decreased (n=2312)
Mesenchymal stem cells:	all enriched (n=2763) decreased (n=2886)
Natural killer T-cells:	all enriched (n=2423) decreased (n=3226)
Regulatory T-cells:	all enriched (n=2854) decreased (n=2795)
Type 1 T-helper cells:	all enriched (n=2791) decreased (n=2858)
Type 2 T-helper cells:	all enriched (n=3331) decreased (n=2318)

Please note: the generated p value does not include correction for multiple hypothesis testing by default.

Processing...

Display results in new window:

By using the services, you agree to be bound by the Terms of Use.

Please kindly cite our paper to support further development: Lanczky A, Gyorffy B. Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation, J Med Internet Res, 2021; 23(7):e27633, doi:10.2196/27633