Qualitative Ras pathway signature for cetuximab therapy reveals resistant mechanism in colorectal cancer.
Kai SongHaibo LuLiangliang JinKai WangWenbing GuoHailong ZhengKeru LiChuchu HeTianyi YouYelin FuJing YangWenyuan ZhaoZheng GuoPublished in: The FEBS journal (2020)
Cetuximab therapy, which heavily relies on the activation of Ras pathway, has been used in KRAS, NRAS, BRAF, and PIK3CA wild-type colorectal cancer (CRC) (Ras-normal). However, the response rate only reached 60%, due to false-negative mutation detection and mutation-like transcriptome features in wild-type patients. Herein, by integrating RNA-seq, microarray, and mutation data, we developed a Ras pathway signature by characterizing KRAS/NRAS/BRAF/PIK3CA mutations to identify the hidden nonresponders from the Ras-normal patients by mutation detection. Using public and in-house data of CRC patients treated with cetuximab, discovery of the signature could identify cetuximab-resistant samples from the Ras-normal samples. Cetuximab resistance-related genes, such as PTEN, were significantly and frequently mutated in the identified Ras-activated samples, whereas two cetuximab sensitivity-related genes, APC and TP53, showed comutation and significantly higher mutation frequencies in the remaining Ras-normal samples. Furthermore, all the NF1- and BCL2L1-mutated samples were identified as Ras-activated from the Ras-normal samples by the Ras pathway signature with significantly under-regulated expression. Genes co-expressed with the two genes were both involved in Ras signaling pathway, the out-of-control of which could be attributed by the genes' loss-of-function mutations. To improve the treatment of cetuximab in CRC, NF1 and BCL2L1 could be used as complementary detection technique to those applied in clinical. In conclusion, the proposed Ras pathway signature could identify the hidden CRC patients resistant to cetuximab therapy and help to reveal resistance mechanisms.
Keyphrases
- wild type
- end stage renal disease
- signaling pathway
- rna seq
- newly diagnosed
- ejection fraction
- chronic kidney disease
- genome wide
- peritoneal dialysis
- single cell
- pi k akt
- oxidative stress
- healthcare
- systematic review
- dna methylation
- cell proliferation
- squamous cell carcinoma
- patient reported outcomes
- small molecule
- cell therapy
- immune response
- emergency department
- mental health
- inflammatory response
- patient reported
- bone marrow
- nuclear factor
- rectal cancer
- artificial intelligence
- locally advanced
- deep learning
- real time pcr