A Universal Analysis Pipeline of Hybrid Capture-Based Targeted Sequencing Data with Unique Molecular Indexes (UMIs)

Liquid Biopsy to Detect Minimal Residual Disease: Methodology and Impact

One reason why some patients experience recurrent disease after a curative-intent treatment might be the persistence of residual tumor cells, called minimal residual disease (MRD). MRD cannot be identified by standard radiological exams or clinical evaluation. Tumor-specific alterations found in the blood indirectly diagnose the presence of MRD. Liquid biopsies thus have the potential to detect MRD, allowing, among other things, the detection of circulating tumor DNA (ctDNA), circulating tumor cells (CTC), or tumor-specific microRNA. Although liquid biopsy is increasingly studied, several technical issues still limit its clinical applicability: low sensitivity, poor standardization or reproducibility, and lack of randomized trials demonstrating its clinical benefit. Being able to detect MRD could give clinicians a more comprehensive view of the risk of relapse of their patients and could select patients requiring treatment escalation with the goal of improving cancer survival. In this review, we are discussing the different methodologies used and investigated to detect MRD in solid cancers, their respective potentials and issues, and the clinical impacts that MRD detection will have on the management of cancer patients.

Genomic progression of precancerous actinic keratosis to squamous cell carcinoma

The mechanism underlying the progression of actinic keratosis (AK) and cutaneous squamous cell carcinoma in situ (SCCIS) to squamous cell carcinoma (SCC) remains unclear. To investigate this, we performed regional microdissection and targeted deep sequencing in SCC (N=10) and paired adjacent SE (sun-damaged epidermis)/AK/SCCIS (N=13) samples to detect mutations and copy number alterations (CNAs). Most (11/13) SE/AK/SCCIS tissues harbored ≥ 1 driver alterations, indicating their precancerous nature. All pairs except one showed genome architectures representing genomic progression of SE/AK/SCCIS to SCC with common trunks and unique branches (7 parallel and 5 linear progression cases). SE/AK/SCCIS tissues tended to harbor lower mutation/CNA burdens than SCC tissues, but most of them had driver mutations, including NOTCH1 and TP53 mutations. SCC-specific genomic alterations included TP53, PIK3CA, FBXW7, and CDKN2A mutations and a MYC copy-number gain, but they were heterogeneous among cases, suggesting that a single gene or pathway does not explain the progression of AK to SCC. In multiregion analyses of AK lesions, only some AK samples were related to SCC. In conclusion, the SE/AK/SCCIS genomes may have previously acquired truncal driver alterations, such as NOTCH1 and TP53 mutations, which promote parallel or linear progression to SCC upon acquisition of additional genomic alterations.

Donor-derived cell-free DNA: An independent biomarker in kidney transplant patients with antibody-mediated rejection

INTRODUCTION

Antibody-mediated rejection (ABMR) is a major cause of kidney transplant failure which requires donor-specific antibodies (DSA) for a definitive diagnosis. Donor-derived cell-free DNA (ddcfDNA) is an emerging biomarker used to assess kidney allograft injury. However, current data is limited to predict the accuracy of ddcfDNA in ABMR diagnosis. This study was conducted to compare the performance of DSA with plasma ddcfDNA for the diagnosis of ABMR.

METHODS

In this retrospective single-center observational study, we enrolled 50 kidney transplant recipients who were diagnosed with the suspicion of rejection between June 2018 and May 2019 at the Jinling Hospital. Plasma ddcfDNA was measured by using a novel target region capture sequencing methodology. A total of 37 patients who were tested with DSA and biopsy were divided into four subgroups (ABMR+/DSA+, ABMR+/DSA-, ABMR-/DSA+, ABMR-/DSA-) for the distribution of ddcfDNA (%) by ABMR and DSA.

RESULTS

The median level of ddcfDNA in biopsy showed that the ABMR group (1.66%, IQR 1.34-3.76%) was significantly higher than the median level (0.63%, IQR 0.43-0.74%) in non-ABMR (p < 0.001). With a ddcfDNA cutoff of 0.96%, the AUC was 0.90 (95%CI, 0.86-0.95), which was associated with a sensitivity of 90.5% (95%CI, 69.6-98.8%) and specificity of 96.6% (95%CI, 82.2-100%), a PPV of 95% (95%CI, 73.4-99.2%) and NPV of 93.3% (95%CI, 78.9-98.1%) were also observed. Among the four subgroups, ddcfDNA had no significant difference in both DSA+ group and DSA-group (p > 0.05). In the diagnosis of ABMR, the specificity, sensitivity, PPV and NPV of DSA were 50%, 74.1%, 41.7%, 80%, respectively.

CONCLUSIONS

ddcfDNA levels in the blood could highly distinguish (biopsy-supported) ABMR occurrence, irrespective of whether this method is accompanied by DSA or not.

Calling Variants in the Clinic: Informed Variant Calling Decisions Based on Biological, Clinical, and Laboratory Variables

Deep sequencing genomic analysis is becoming increasingly common in clinical research and practice, enabling accurate identification of diagnostic, prognostic, and predictive determinants. Variant calling, distinguishing between true mutations and experimental errors, is a central task of genomic analysis and often requires sophisticated statistical, computational, and/or heuristic techniques. Although variant callers seek to overcome noise inherent in biological experiments, variant calling can be significantly affected by outside factors including those used to prepare, store, and analyze samples. The goal of this review is to discuss known experimental features, such as sample preparation, library preparation, and sequencing, alongside diverse biological and clinical variables, and evaluate their effect on variant caller selection and optimization.