In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Example: Paragraph: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously uncharacterized coronavirus that could be identified by specific RT-PCR amplification. Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. A real-time fluorogenic RT-PCR assay based on the 3 -noncoding region (3 -NCR) of SARS-CoV genome was developed as a quantitative SARS diagnostic tool. The ideal amplification efficiency of a sensitive SARS-CoV RT-PCR assay should yield an E value (PCR product concentration increase per amplification cycle) equal to 2.0. It was demonstrated that the 3 -NCR SARS-CoV based RT-PCR reactions could be formulated to reach excellent E values of 1.81, or 91% amplification efficacy. The SARS-CoV cDNA preparations derived from viral RNA extract and the cloned recombinant plasmid both exhibit the identical amplification characteristics, i.e. amplification efficacy using the same PCR formulation developed in this study. The viral genomic copy (or genomic equivalences, GE) per infectious unit (GE/pfu) of SARS-CoV used in this study was also established to be approximate 1200-1600:1. The assay's detection sensitivity could reach 0.005 pfu or 6-8 GE per assay. It was preliminarily demonstrated that the assay could efficiently detect SARS-CoV from clinical specimens of SARS probable and suspected patients identified in Taiwan. The 3 -NCR based SARS-CoV assay demonstrated 100% diagnostic specificity testing samples of patients with acute respiratory disease from a non-SARS epidemic region.
Title: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
Example solution: True
Example explanation: The answer is true because the title of the paragraph is correct where it described the development of 3 -noncoding region of SARS-CoV genome and assay efficiently detecting SARS-CoV from clinical specimens.

Problem: Paragraph: Background-2 -5 -oligoadenylate synthetase (2-5 OAS1), an antiviral, pro-apoptotic and antiproliferative gene converts ATP to a series of 2 -5 -oligoadenylates (2-5A). 2-5A in turn activates RNaseL, a candidate hereditary prostate cancer gene. OAS1 polymorphism (rs2660) has been associated with increased susceptibility to infections and various diseases. In general, the low enzyme activity AA genotype promotes susceptibility whereas high enzyme activity GG genotype confers protection. In this study we investigated the association of this functional polymorphism (rs2660) in OAS1 with prostate cancer. Methods-Sample size and power was calculated using the PGA software. Genomic DNA from a controls (n=140) and prostate cancer patients (n=164) were used for genotyping SNPs rs2660, rs1131454 and rs34137742 on all samples. Statistical analysis was performed using logistic regression model. Results-Significant association was observed between rs2660 genotype (A/G) and prostate cancer. Genotype AA increased the risk whereas GG genotype decreased the risk of prostate cancer. The GG genotype was not observed in the African American samples. The AA genotype also increased the risk of prostate cancer with age. Conclusions-OAS1 SNP rs2660 AA genotype is significantly associated with prostate cancer whereas GG genotype protects against prostate cancer. OAS1 rs2660 could be a prostate cancer susceptibility polymorphism, a significant observation especially in a context of the OAS1-RNaseL pathway. Thus a functional defect in OAS1 due to rs2660 SNP can not only attenuate RNaseL function, but can also alter cell growth and apoptosis independent of RNaseL.
Title: 2-5oligoadenylate synthetase 1 (2-5 OAS1) polymorphism is associated with prostate cancer
Solution: True