Potential unreliability of ALK variant allele frequency in the efficacy prediction of targeted therapy in NSCLC / 医学前沿

Anaplastic lymphoma kinase (ALK) is the most common fusion gene involved in non-small cell lung cancer (NSCLC), and remarkable response has been achieved with the use of ALK tyrosine kinase inhibitors (ALK-TKIs). However, the clinical efficacy is highly variable. Pre-existing intratumoral heterogeneity (ITH) has been proven to contribute to the poor treatment response and the resistance to targeted therapies. In this work, we investigated whether the variant allele frequencies (VAFs) of ALK fusions can help assess ITH and predict targeted therapy efficacy. Through the application of next-generation sequencing (NGS), 7.2% (326/4548) of patients were detected to be ALK positive. On the basis of the adjusted VAF (adjVAF, VAF normalization for tumor purity) of four different threshold values (adjVAF < 50%, 40%, 30%, or 20%), the association of ALK subclonality with crizotinib efficacy was assessed. Nonetheless, no statistical association was observed between median progression-free survival (PFS) and ALK subclonality assessed by adjVAF, and a poor correlation of adjVAF with PFS was found among the 85 patients who received first-line crizotinib. Results suggest that the ALK VAF determined by hybrid capture-based NGS is probably unreliable for ITH assessment and targeted therapy efficacy prediction in NSCLC.

Concordance of HER2 status tested by IHC and FISH in biopsy and surgical resection specimens and comparison with clinicopathological features in gastric carcinoma

Context: HER2-targeted therapy has been shown to benefit HER2-positive gastric cancer. It is very important to determine the HER2 expression level correctly to select the appropriate test and sampling method. Aim: In this study, we investigated the frequency of overexpression of HER2 and intratumoral heterogeneity of HER2-positive cases, comparison of HER2 used immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) performance in biopsy and resection specimens, the correlation of HER2 status between biopsy and resection specimens, and its relationship with clinicopathological findings. Materials and Methods: Formalin-fixed, paraffin-embedded specimens of a total of 40 surgically resected and biopsy specimens of gastric cancer were analyzed. HER2 status was examined using both IHC and FISH techniques, and the findings and their association with different clinicopathological parameters were evaluated. Results: The concordance rate between the results of IHC and FISH in biopsy and resection specimens was 96.6% and 86.6%, respectively. In paired 20 cases, the overall concordance rate of HER2-IHC and HER2-FISH status between biopsy and resection specimens was 90% and 100%, respectively. HER2-IHC analysis revealed that 5/40 cases were IHC 2+ and only 1 of 5 IHC 2+ cases demonstrated HER2-FISH amplification. Conclusion: Our results showed that HER2-IHC was well concordant with FISH in cases with a score of 0/1+ or 3+ and demonstrates strong concordance between biopsy and resection specimens. FISH should be performed when the IHC result is equivocal. In our study, no statistically significant correlation was observed between HER2 positivity and clinicopathological parameters. Overall, both biopsy and resection specimens are appropriate for HER2 testing.

Radiomics in Oncological PET/CT: a Methodological Overview / 대한핵의학회잡지

Radiomics is a medical imaging analysis approach based on computer-vision. Metabolic radiomics in particular analyses the spatial distribution patterns of molecular metabolism on PET images. Measuring intratumoral heterogeneity via image is one of the main targets of radiomics research, and it aims to build a image-based model for better patient management. The workflow of radiomics using texture analysis follows these steps: 1) imaging (image acquisition and reconstruction); 2) preprocessing (segmentation & quantization); 3) quantification (texture matrix design & texture feature extraction); and 4) analysis (statistics and/or machine learning). The parameters or conditions at each of these steps are effect on the results. In statistical testing or modeling, problems such as multiple comparisons, dependence on other variables, and high dimensionality of small sample size data should be considered. Standardization of methodology and harmonization of image quality are one of the most important challenges with radiomics methodology. Even though there are current issues in radiomics methodology, it is expected that radiomics will be clinically useful in personalized medicine for oncology.

PTEN loss in Gleason grade 7 prostate tumors exhibits intratumoral heterogeneity and is associated with unfavorable pathological features

Background: PTEN loss is observed in 20­30% of prostate cancers and is associated with a poor outcome, but clinical details of the impact of this biomarker are unclear for intermediate grade tumors. Methods: We investigated 43 radical prostatectomy-derived grade 7 prostate tumors from the Clinics Hospital of Ribeirão Preto. Tissue microarray (TMA) blocks were constructed and PTEN copy number status was determined for all patients through fluorescence in situ hybridization (FISH). To determine the presence of PTEN protein loss in our study cohort, we performed immunohistochemistry (IHC) in TMA sections. We then developed an automated algorithm in HALO™ to identify regions of PTEN protein loss in whole prostate scanned sections from ten patients with known PTEN deletion status by FISH. Clinical analyses were conducted to determine the associations between PTEN loss and patient outcome. All statistical analyses were conducted in R v3.4.3 with P-values below 0.05 being considered statistically significant. Results: In this study of 43 grade 7 tumors, we found PTEN deletions by FISH in 18.9% of tumors, and PTEN protein loss by IHC in 16.3% of tumors. Both techniques were highly concordant and complementary. Clinical analysis demonstrated that PTEN deletion by FISH was significantly associated with positive margin invasion (P = 0.04) and Gleason score upgrade (P = 0.001). Digital image analysis of ten representative tumors demonstrated distinct intratumoral heterogeneity for PTEN protein loss in four tumors. Conclusions: This study shows that PTEN loss in Gleason grade 7 tumors can be heterogeneous and that a systematic analysis of this biomarker using a combination of FISH, IHC, and digital imaging may identify patients with a greater risk of poor outcome (AU)