Squamous Cell Carcinoma of the Lung With Micropapillary Pattern

Detection of actionable mutations in cytological specimens obtained by endoscopic ultrasound-guided fine needle aspiration with rapid onsite evaluation in pancreatic cancer

BACKGROUND

It is not clear whether archived cytological specimens (ACSs) obtained with endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) with rapid onsite evaluation (ROSE) can be used for genomic profiling of tumors. We used ACSs to perform genomic analysis of specimens to identify oncogenic and druggable mutations.

METHODS

A panel of 60 significantly mutated genes specific to pancreatobiliary cancer was created and used for genomic analysis of 113 specimens of 44 formalin-fixed paraffin-embedded (FFPE) tissues and 69 ACSs obtained by EUS-FNA with ROSE were included. The quantity and quality of DNA extracted from FFPE tissues and ACSs were compared. We also compared DNA from spray and touch ACSs. Next, genomic profiles were compared. We also evaluated detection of target gene mutations in each specimen.

RESULTS

The amount of DNA in FFPE tissues was greater than in ACSs (P = 0.014), but the quality of DNA was comparable (P = 0.378). There was no quantitative or qualitative difference between spray and touch ACSs (P = 0.154 and P = 0.734, respectively). Oncogenic mutations were shared at 82 % in FFPE tissues and ACSs and 82 % in spray and touch ACSs. The sensitivity of genomic analysis in ACSs was 97 % (67 of 69), which was comparable to that of cytology (62 of 69, 90 %; P = 0.165), and was significantly higher than that of histology (32/44, 73 %; P < 0.001). Drug-matched mutations were identified in five of the 44 lesions (11 %).

CONCLUSION

Genomic analysis of ACSs is useful in the prognosis of pancreatic cancer because detection of driver mutations is similar to detection in FFPE tissues.

Genomic profiling amplifies the utility of endoscopic ultrasound-guided fine needle biopsy by identifying clinically applicable druggable mutations in pancreatic cancer

BACKGROUND

Genomic profiling of tumors is available, but whether the small fragment obtained via endoscopic ultrasound-guided fine needle biopsy (EUS-FNB) is sufficient for these examinations is unknown. Here we investigated whether EUS-FNB specimens are suitable for genomic profiling to identify oncogenic and drug-matched mutations.

METHODS

We constructed a pancreatobiliary cancer panel for targeted panel sequencing that covered 60 significantly mutated genes and compared the results with those of whole-exome sequencing (WES). In total, 20 and 53 formalin-fixed paraffin-embedded tissues obtained via surgery and EUS-FNB were analyzed, respectively. First, we examined the DNA quality and genomic profiles of 20 paired samples from 20 malignant lesions obtained via surgery and EUS-FNB. We then tested 33 samples obtained via EUS-FNB from 24 malignant and 9 benign lesions for the discrimination of malignancy. Finally, we explored drug-matched mutations from EUS-FNB specimens.

RESULTS

Although the DNA quantity obtained via surgery was higher than that obtained via EUS-FNB (P = 0.017), the DNA quality and mean depth were equivalent (P = 0.441 and P = 0.251). Panel sequencing of EUS-FNB specimens identified more oncogenic mutations than WES (90 % vs. 50 %). Furthermore, the number of oncogenic mutations did not differ between EUS-FNB and surgically resected specimens. Genomic profiling of EUS-FNB specimens enabled the discrimination of malignancy with 98 % accuracy. Of 44 malignant lesions, drug-matched alterations were identified in 14 % (6/44) of malignant lesions.

CONCLUSION

EUS-FNB specimens can be widely utilized for diagnostic purposes, discrimination of malignancy, and detection of drug-matched mutations for the treatment of pancreatic cancer.

Molecular analysis of ascitic fluid cytology reflects genetic changes of malignancies of the ovary equivalent to surgically resected specimens

BACKGROUND

The objective of this study was to identify the clinical utility of genomic analysis of ascitic fluid cytology (AC) in patients with epithelial ovarian cancer.

METHODS

Targeted next-generation sequencing was used to analyze 66 samples from 33 patients who had ovarian (n = 23), fallopian tube (n = 2), and peritoneal (n = 8) carcinoma, and the concordance rate of molecular profiles was compared between surgically resected, formalin-fixed, paraffin-embedded (FFPE) tissues and AC samples.

RESULTS

In total, 159 mutations were identified (54 oncogenic mutations and 105 nononcogenic mutations) in 66 DNA samples (33 FFPE tissues and 33 AC samples) from 33 patients. Of the 159 mutations, 57 (35.8%) were shared between surgically resected FFPE tissues and AC samples. However, the concordance rate of the molecular profiles between the 2 was significantly higher for oncogenic mutations compared with nononcogenic mutations (85.1% vs 10.5%; P < .01). Indeed, the AC samples covered all oncogenic mutations (n = 46) that were detected in surgically resected specimens and identified additional mutations (n = 8).

CONCLUSIONS

The current results indicated that genomic analysis of AC can identify all of the genetic changes associated with epithelial ovarian cancer to understand tumor characteristics without interventional surgery or biopsy and may play an important role in developing personalized precision medicine.

Sphingomonas and Phenylobacterium as Major Microbiota in Thymic Epithelial Tumors

The microbiota has been reported to be closely associated with carcinogenesis and cancer progression. However, its involvement in the pathology of thymoma remains unknown. In this study, we aimed to identify thymoma-specific microbiota using resected thymoma samples. Nineteen thymoma tissue samples were analyzed through polymerase chain reaction amplification and 16S rRNA gene sequencing. The subjects were grouped according to histology, driver mutation status in the GTF2I gene, PD-L1 status, and smoking habits. To identify the taxa composition of each sample, the operational taxonomic units (OTUs) were classified on the effective tags with 97% identity. The Shannon Index of the 97% identity OTUs was calculated to evaluate the alpha diversity. The linear discriminant analysis effect size (LEfSe) method was used to compare the relative abundances of all the bacterial taxa. We identified 107 OTUs in the tumor tissues, which were classified into 26 genera. Sphingomonas and Phenylobacterium were identified as abundant genera in almost all the samples. No significant difference was determined in the alpha diversity within these groups; however, type A thymoma tended to exhibit a higher bacterial diversity than type B thymoma. Through the LEfSe analysis, we identified the following differentially abundant taxa: Bacilli, Firmicutes, and Lactobacillales in type A thymoma; Proteobacteria in type B thymoma; Gammaproteobacteria in tumors harboring the GTF2I mutation; and Alphaproteobacteria in tumors without the GTF2I mutation. In conclusion, Sphingomonas and Phenylobacterium were identified as dominant genera in thymic epithelial tumors. These genera appear to comprise the thymoma-specific microbiota.

Streptococcus australis and Ralstonia pickettii as Major Microbiota in Mesotheliomas

The microbiota has been reported to be correlated with carcinogenesis and cancer progression. However, its involvement in the pathology of mesothelioma remains unknown. In this study, we aimed to identify mesothelioma-specific microbiota using resected or biopsied mesothelioma samples. Eight mesothelioma tissue samples were analyzed via polymerase chain reaction (PCR) amplification and 16S rRNA gene sequencing. The operational taxonomic units (OTUs) of the effective tags were analyzed in order to determine the taxon composition of each sample. For the three patients who underwent extra pleural pneumonectomy, normal peripheral lung tissues adjacent to the tumor were also included, and the same analysis was performed. In total, 61 OTUs were identified in the tumor and lung tissues, which were classified into 36 species. Streptococcus australis and Ralstonia pickettii were identified as abundant species in almost all tumor and lung samples. Streptococcus australis and Ralstonia pickettii were found to comprise mesothelioma-specific microbiota involved in tumor progression; thus, they could serve as targets for the prevention of mesothelioma.