Peptide nucleic acid probe-based fluorescence melting curve analysis for rapid screening of common JAK2, MPL, and CALR mutations

Identification of DNA variants at ultra-low variant allele frequencies via Taq polymerase cleavage of wild-specific blockers

Detecting mutations related to tumors holds immense clinical significance for cancer diagnosis and treatment. However, the presence of highly redundant wild DNA poses a challenge for the advancement of low-copy mutant ctDNA genotyping in cancer cases. To address this, a Taqman qPCR strategy to identify rare mutations at low variant allele fractions (VAFs) has been developed. This strategy combines mutant-specific primers with wild-specific blockers. Diverging from other blocker-mediated PCRs, which rely on primer-induced strand displacement or the use of modified oligos resistant to Taq polymerase, our innovation is built upon the cleavage of specific blockers by Taq polymerase. Given its unique design, which does not hinge on strand displacement or base modification, we refer to this novel method as unmodified-blocker cleavage PCR (UBC-PCR). Multiple experiments consistently confirmed that variant distinction was improved significantly by introduction of 5' unmatched blockers into the reaction. Moreover, UBC-PCR successfully detected mutant DNA at VAFs as low as 0.01% across six different variant contexts. Multiplex UBC-PCR was also performed to identify a reference target and three mutations with a sensitivity of 0.01% VAFs in one single tube. In profiling the gene status from 12 lung cancer ctDNA samples and 22 thyroid cancer FNA DNA samples, UBC-PCR exhibited a 100% concordance rate with ddPCR and a commercial ARMS kit, respectively. Our work demonstrates that UBC-PCR can identify low-abundance variants with high sensitivity in multiplex reactions, independent of strand displacement and base modification. This strategy holds the potential to significantly impact clinical practice and precision medicine.

Highly Sensitive Enrichment of Low-Frequency Variants by Hairpin Competition Amplification

Gene mutations are inevitably accumulated in cells of the human body. It is of great significance to detect mutations at the earliest possible time in physiological and pathological processes. However, genotyping low-copy tumor DNA (ctDNA) in patients is challenging due to abundant wild DNA backgrounds. One novel strategy to enrich rare mutations at low variant allele fractions (VAFs) with quantitative polymerase chain reaction (qPCR) and Sanger sequencing was contrived by introducing artificial hairpins into amplicons to compete with primers, coined as the hairpin competition amplification (HCA) system. The influence imposed by artificial hairpins on primer-binding in a high-temperature PCR system was investigated for the first time in this work, paving the way for the optimization of HCA. HCA differs from the previously reported work in which hairpins are formed to inhibit extension of wild-type DNA using 5-exonuclease-negative polymerase, where the readout is dependent on melting curve analysis after asymmetric PCR. Targeted at six different variants, HCA qPCR and HCA Sanger-enriched mutant DNA at VAFs as low as 0.1 or 0.01% were performed. HCA demonstrated advantages in multiplex reaction and temperature robustness. In profiling gene status from 12 lung cancer ctDNA samples and 16 thyroid cancer FNA DNA samples, HCA demonstrated a 100% concordance rate compared to ddPCR and commercial ARMS kit. HCA qPCR and Sanger sequencing can enrich low-abundance variants with high sensitivity and temperature robustness, presenting a novel and effective tool for precision diagnosis and treatment of rare variant diseases.

Establishment of Coamplification at Lower Denaturation Temperature PCR/Fluorescence Melting Curve Analysis for Quantitative Detection of Hepatitis B Virus DNA, Genotype, and Reverse Transcriptase Mutation and Its Application in Diagnosis of Chronic Hepatitis B

Dynamic and real-time hepatitis B virus (HBV) DNA, genotype, and reverse transcriptase mutation analysis plays an important role in diagnosing and monitoring chronic hepatitis B (CHB) and in assessing the therapeutic response. We established a highly sensitive coamplification at lower denaturation temperature PCR (COLD-PCR) coupled with probe-based fluorescence melting curve analysis (FMCA) for precision diagnosis of CHB patients. The imprecision with %CV and detection limit of HBV DNA detected by COLD-PCR/FMCA were 2.58% to 4.42% and 500 IU/mL, respectively. For mutation, the imprecision and detection limit were 3.35% to 6.49% and 1%, respectively. Compared with Sanger sequencing, the coincidence rates of genotype and mutation were 96.0% and 82.5%, respectively, whereas the inconsistent data resulted from a low proportion (<20%) of mixed genotypes or mixed mutations. The mutation ratio in HBV infection patients was as follows: hepatitis B e antigen (HBeAg)-positive infection (0/0.0%) < HBeAg-negative infection (16/4.5%) < HBeAg-positive hepatitis (30/5.5%) < HBeAg-negative hepatitis (36/6.5%). In patients with entecavir therapy, the proportion of mutation at baseline or week 4 in virologic response (VR) group was <4%, whereas in the partial VR group, it was mostly ≥4%. COLD-PCR/FMCA provides a novel tool with high sensitivity, convenience, and practicability for the simultaneous quantification of HBV DNA, genotype, and mutation. It might be used for distinguishing the different phases of HBV infection and predicting VR of CHB patients.

Establishment of a fluorescent PCR melting curve method for detecting asthma susceptibility using gene SNP typing

Objective: To develop a detection method for single nucleotide polymorphisms (SNPs) of bronchial asthma (BA) susceptibility genes (IL-13, IL-33, and GSDMA) based on fluorescence PCR melting curves.Methods: Peripheral blood samples from 33 patients with BA were collected. DNA was extracted, and positive plasmids were constructed. Probes and primers for fluorescence polymerase chain reaction (PCR) were designed according to IL-13, IL-33, and GSDMA sequences, and the SNPs were separately detected by gene sequencing and fluorescence PCR melting curve.Results: The system was successfully divided into 3 SNPs, including IL-13, IL-33, and GSDMA, and a comparison of sequencing methods showed that the results were completely consistent. The lowest detection limit was 1 ng/reaction, the sensitivity and specificity were 100%, and this method had high repeatability (CV = 2.8%).Conclusion: The fluorescence PCR melting curve method is suitable for the rapid and accurate classification of SNPs. The method is economical, simple, and efficient, and is suitable for the screening of the susceptible gene SNPs in a large-scale population of patients with BA.