KLK3基因可预测恶性前列腺癌

Researchers at The University of Texas MD Anderson Cancer Center have identified a biomarker living next door to the KLK3 gene¹ that can predict which GS7 prostate cancer patients will have a more aggressive form of cancer. The results reported in the journal of Clinical Cancer Research, a publication of the American Association of Cancer Research, indicate the KLK3 gene -- a gene on chromosome² 19 responsible for encoding the prostate-specific antigen (PSA) -- is not only associated with prostate cancer aggression³, but a single nucleotide polymorphism (SNP) on it is more apparent in cancer patients with GS7.

 

Researchers have linked Gleason score, an important predictor of prostate cancer outcomes, to several clinical end points, including clinical stage, cancer aggression and survival. There has been much research associated with prostate cancer outcomes as well as GS7 prostate cancers, which is an intermediate grade of cancer accounting⁴ for 30 to 40 percent of all prostate cancers.

 

"This is the first report that I am aware of that indicates a genetic⁵ variant⁶ can stratify GS7 prostate cancer patients," said Jian Gu, Ph.D., associate professor at MD Anderson, and a key investigator⁷ on the study. "This is important because this group with heterogeneous⁸ prognosis is difficult to predict and there are no reliable biomarkers to stratify this group."

 

In this study, researchers investigated inherited genetic variants⁹ to see if there would be any promising¹⁰ biomarkers for prostate cancer patients. The investigators¹¹ studied the genetic makeup¹² of 72 SNPs identified from the genome-wide association studies (GWAS) in 1,827 prostate cancer patients. They analyzed¹³ associations of these SNPs with disease aggression, comparing them in clinically defined high and low aggressive cases. They found a SNP on the KLK3 gene that can predict an aggressive form of GS7 disease.

 

"Treatment options for the GS7 disease are controversial because the burden of combined treatment modalities may outweigh¹⁴ the potential benefit in some patients," said Xifeng Wu, M.D., Ph.D., professor and chair of Epidemiology, and lead investigator on the study. "It is critical that we develop personalized treatments based on additional biomarkers to stratify GS7 prostate cancers. Additional biomarkers may help us achieve personalized clinical management of low and intermediate risk prostate cancer patients."

 

Wu also said her team are expanding the study and taking a pathway-based approach to systemically investigate genetic variants in microRNA regulatory pathways as biomarkers for the prognosis of prostate cancer patients. "We are also working on circulating biomarkers. Eventually, we will incorporate all biomarkers, epidemiological and clinical variants into nomograms to best predict the prognosis of prostate cancer patients at diagnosis¹⁵."

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