Drug-driven reclassification of multiple tumour subtypes reveals intrinsic molecular concordance of therapy across histologically disparate cancers
biorxiv(2021)
摘要
Cancers that are histologically defined as the same type of cancer often need a distinct therapy based on underlying heterogeneity; likewise, histologically disparate cancers can require similar treatment approaches due to intrinsic similarities. A comprehensive analysis integrated with drug response data and genomic alterations, particularly to reveal therapeutic concordance mechanisms across histologically disparate tumour subtypes, has not yet been fully exploited.
In this study, we used pharmacogenomic profiling data provided from the Cancer Genome Project (CGP) in a systematic in silico investigation of the pharmacological subtypes of cancers and the intrinsic concordance of molecular mechanisms leading to similar therapeutic responses across histologically disparate tumour subtypes. We further developed a novel approach to redefine cell-to-cell similarity and drug-to-drug similarity from the therapeutic concordance, providing a new point of view to study cancer heterogeneity.
Our study identified that histologically different tumours, such as malignant melanoma and colorectal adenocarcinoma, could belong to the same pharmacological subtype regarding drug sensitivity to MEK inhibitors, which was determined by their genomic alterations, high occurrence of BRAF or KRAS mutations. Therapeutic concordance for chemotherapy drugs was identified across histologically disparate hematological tumors mainly due to the extraordinary activation of the cell cycle in blood cancers. A subcluster of SCLC had a more similar profile with hematological tumors, and was associated with the malignant phenotype, with a higher level of MYC expression. We developed a website to store and visualize the pharmacological subtypes of drugs, as well as their connected genomic and expression alterations.
### Competing Interest Statement
The authors have declared no competing interest.
* ACC
: Adrenocortical carcinoma
ALL
: Acute lymphoblastic leukemia
BLCA
: Bladder urothelial carcinoma
BRCA
: Breast invasive carcinoma
CESC
: Cervical squamous cell carcinoma and endocervical adenocarcinoma
CLL
: Chronic lymphocytic leukemia
COREAD
: Colon adenocarcinoma and rectum adenocarcinoma
DLBC
: Lymphoid neoplasm diffuse large B-cell Lymphoma
ESCA
: Esophageal carcinoma
GBM
: Glioblastoma multiforme
HNSC
: Head and neck squamous cell carcinoma
KIRC
: Kidney renal clear cell carcinoma
LAML
: Acute myeloid leukemia
LCML
: Chronic myelogenous leukemia
LGG
: Brain lower grade glioma
LIHC
: Liver hepatocellular carcinoma
LUAD
: Lung adenocarcinoma
LUSC
: Lung squamous cell carcinoma
MB
: Medulloblastoma
MESO
: Mesothelioma
MM
: Multiple myeloma
NB
: Neuroblastoma
OV
: Ovarian serous cystadenocarcinoma
PAAD
: Pancreatic adenocarcinoma
PRAD
: Prostate adenocarcinoma
SCLC
: Small cell lung cancer
SKCM
: Skin cutaneous melanoma
STAD
: Stomach adenocarcinoma
THCA
: Thyroid carcinoma
UCEC
: Uterine corpus endometrial carcinoma
CGP
: The Cancer Genome Project
IC50
: Half maximal inhibitory concentration
TCGA
: The Cancer Genome Atlas Program
FDA
: U.S. Food and Drug Administration
RTK
: Receptor tyrosine kinase
MEK
: Mitogen-activated protein kinase kinase
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要