Jin Haeng Chung

Clinicopathological characteristics, microsatellite instability, and expression of mucin core proteins and p53 in colorectal mucinous adenocarcinomas in relation to location

It has been suggested that right-sided and left-sided colorectal cancer may arise by different mechanisms. However, there have been few studies of mucinous adenocarcinoma (MA) in relation to location. Therefore, we analyzed clinicopathological characteristics, microsatellite instability (MSI), and expression of MUC1, MUC2, MUC5AC mucin core proteins, and p53 by immunohistochemistry in relation to tumor location. Ninety-six consecutive colorectal MAs and ninety-eight nonmucinous adenocarcinomas (nMAs) were investigated. Right-sided MAs, by comparison with those on the left side, were characterized by older age, larger tumor size, lower stage at presentation, peritumoral lymphocytic response, background of serrated adenoma, MSI-H phenotype, higher MUC2 and MUC5AC expression, and lower p53 protein overexpression. Right-sided nMAs, relative to those on the left side, were associated with MSI-H phenotype, higher MUC2 and MUC5AC expression, and lower p53 protein overexpression. Thus, MSI-H phenotype, expression of MUC2 and MUC5AC, and infrequent p53 protein overexpression are associated with right-sided location as well as mucinous histology. In univariate analysis, right-sided location had a favorable effect on disease specific survival of the patients with MA, although it is not an independent predictor of survival. Our results indicate that MA is a distinctive form of colorectal cancer and has different phenotypes depending on tumor location.

DNA methylation profile during multistage progression of pulmonary adenocarcinomas

Multiple genetic and epigenetic alterations are known to be involved in the carcinogenesis of peripheral pulmonary adenocarcinoma (ADC). However, epigenetic abnormalities have not been extensively investigated in the following multistage progression sequence: atypical adenomatous hyperplasia (AAH) to adenocarcinoma in situ (AIS), to invasive ADC. To determine the potential role of promoter methylation during ADC development of the lung, we examined methylation status in 20 normal, 20 AAH, 30 AIS, and 60 ADC lung tissues and compared methylation status among the lesions. The MethyLight assay was used to determine the methylation status of 18 CpG island loci, which were hypermethylated in ADC compared to noncancerous lung tissues. The mean number of methylated CpG island loci was significantly higher in ADC than in AAH and AIS, (p < 0.003 between ADC and AAH, p < 0.005 between ADC and AIS). Aberrant methylation of HOXA1, TMEFF2, and RARB was frequently observed in preinvasive lesions, including AAH and AIS. Furthermore, methylation of PENK, BCL2, RUNX3, DLEC1, MT1G, GRIN2B, CDH13, CCND2, and HOXA10 was significantly more frequent in invasive ADC than AAH or AIS. Our results indicate that epigenetic alterations are involved in the multistep progression of pulmonary ADC development, and aberrant CpG island methylation accumulates during multistep carcinogenesis. In addition, aberrant methylation of HOXA1, TMEFF2, and RARB occurred in preinvasive lesions, which indicates that epigenetic alterations of these genes are involved in the early stages of pulmonary ADC development. In contrast, hypermethylation of PENK, BCL2, RUNX3, DLEC1, MT1G, GRIN2B, CDH13, CCND2, and HOXA10 was more frequent in invasive ADC than in preinvasive lesions, which indicates that methylation of these genes occurs later during tumor invasion in the AAH–AIS–ADC sequence.

Aquaporin 1 Is an Independent Marker of Poor Prognosis in Lung Adenocarcinoma.

Background: Aquaporin 1 (AQP1) overexpression has been shown to be associated with uncontrolled cell replication, invasion, migration, and tumor metastasis. We aimed to evaluate AQP1 expression in lung adenocarcinomas and to examine its association with clinicopathological features and prognostic significance. We also investigated the association between AQP1 overexpression and epithelial-mesenchymal transition (EMT) markers. Methods: We examined AQP1 expression in 505 cases of surgically resected lung adenocarcinomas acquired at the Seoul National University Bundang Hospital from 2003 to 2012. Expression of AQP1 and EMT-related markers, including Ecadherin and vimentin, were analyzed by immunohistochemistry and tissue microarray. Results: AQP1 overexpression was associated with several aggressive pathological parameters, including venous invasion, lymphatic invasion, and tumor recurrence. AQP1 overexpression tended to be associated with higher histological grade, advanced pathological stage, and anaplastic lymphoma kinase (ALK) translocation; however, these differences were not statistically significant. In addition, AQP1 overexpression positively correlated with loss of E-cadherin expression and acquired expression of vimentin. Lung adenocarcinoma patients with AQP1 overexpression showed shorter progression-free survival (PFS, 46.1 months vs. 56.2 months) compared to patients without AQP1 overexpression. Multivariate analysis confirmed that AQP1 overexpression was significantly associated with shorter PFS (hazard ratio, 1.429; 95% confidence interval, 1.033 to 1.977; p=.031). Conclusions: AQP1 overexpression was thereby concluded to be an independent factor of poor prognosis associated with shorter PFS in lung adenocarcinoma. These results suggested that AQP1 overexpression might be considered as a prognostic biomarker of lung adenocarcinoma.

Generation of lung cancer cell lines harboring EGFR T790M mutation by CRISPR/Cas9-mediated genome editing

Tyrosine kinase inhibitors (TKIs) such as gefitinib and erlotinib are effective against lung adenocarcinomas harboring epidermal growth factor receptor (EGFR) mutations. However, cancer cells can develop resistance to these agents with prolonged exposure; in over 50% of cases, this is attributable to the EGFR T790M mutation. Moreover, additional resistance mutations can arise with the use of new drugs. Cancer cell lines with specific mutations can enable the study of resistance mechanisms. In this study, we introduced the EGFR T790M mutation into the PC9 human lung cancer cell line—which has a deletion in exon 19 of the EGFR gene—by clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas)9-mediated genome editing. EGFR pyrosequencing and peptide nucleic acid clamping revealed that PC9 cells with EGFR T790M generated by CRISPR/Cas 9 had a higher T790M mutation rate than those with the same mutation generated by long-term exposure to gefitinib (PC9-G); moreover, resistance to gefitinib in these clones was higher than that in PC9-G cells. The clones were also highly sensitive to the 3rd-generation EGFR TKI AZD9291, which is cytotoxic to lung cancer cells with EGFR T790M. The CRISPR/Cas9 programmable nuclease system can be used to generate various cancer cell lines with specific mutations that can facilitate studies on resistance mechanisms and drug efficacy.

Molecular Testing of Lung Cancers

Targeted therapies guided by molecular diagnostics have become a standard treatment of lung cancer. Epidermal growth factor receptor (EGFR) mutations and anaplastic lymphoma kinase (ALK) rearrangements are currently used as the best predictive biomarkers for EGFR tyrosine kinase inhibitors and ALK inhibitors, respectively. Besides EGFR and ALK, the list of druggable genetic alterations has been growing, including ROS1 rearrangements, RET rearrangements, and MET alterations. In this situation, pathologists should carefully manage clinical samples for molecular testing and should do their best to quickly and accurately identify patients who will benefit from precision therapeutics. Here, we grouped molecular biomarkers of lung cancers into three categories—mutations, gene rearrangements, and amplifications—and propose expanded guidelines on molecular testing of lung cancers.

Somatic mutational profiles of stage II and III gastric cancer according to tumor microenvironment immune type

We aimed to determine somatic mutational profiles of stage II/III gastric cancers (GCs) according to their tumor microenvironment immune types (TMITs), which classify cancer based on co‐assessment of PD‐L1 expression and CD8+ tumor infiltrating lymphocytes. Eighty patients with stage II/III GC were classified as follows: TMIT I (PD‐L1+/CD8High), TMIT II (PD‐L1−/CD8Low), TMIT III (PD‐L1+/CD8Low), and TMIT IV (PD‐L1−/CD8High). Deep targeted sequencing using a panel of 170 cancer‐related genes was performed on an Illumina HiSeq‐2500 system. Most frequently mutated genes included GNAQ (41.3%), TP53 (38.8%), CREBBP (35.0%), and MAP3K1 (35.0%). PIK3CA mutations were observed more frequently in TMIT I (45.8%) and III (66.7%), than in II (12.0%) and IV (8.0%). Other genes with enriched mutations within TMIT I included ATM (33.3%), BRCA2 (33.3%), MAP3K4 (29.2%), and FLT4 (25.0%). FGFR3, MAP3K1, and RUNX1 mutations were more frequently found in TMIT II. TMIT III had a unique somatic mutation profile harboring enriched mutations of histone modifiers including CREBBP and KMT2A, and we found FGFR2 amplification exclusively within TMIT IV. Fuzzy clustering analysis based on somatic mutation frequencies identified a hypermutated group (cluster 1) and a hypomutated group (cluster 2). Cluster 1 had significant associations with TMIT I, EBV+ GCs, and MSI‐H GCs (P = .023, .014, and .004), and had better overall survival (P = .057) than Cluster 2. TMIT I, EBV+, and MSI‐H GCs were estimated to have greater tumor mutational burden (P = .023, .003, and .015). By analyzing somatic mutation profiles according to TMIT classification, we identified TMIT‐specific genetic alterations that provide clues for biological linkage between GC genetics and microenvironment.