Prevalence of KRAS amplification in patients with metastatic cancer: Real-world next-generation sequencing analysis.

BACKGROUND: The Kirsten rat sarcoma virus (KRAS) is a prominent proto-oncogene. Several treatments for KRAS mutations have been developed. However, KRAS amplification, a KRAS alteration, is poorly understood, and there is currently no appropriate treatment other than conventional chemotherapy. This study aimed to elucidate the role of KRAS amplification in different types of cancers. METHODS: From October 2019 to June 2023, we performed next-generation sequencing using Trusight Oncology 500 on 3895 patients with 37 different cancer types at the Samsung Medical Center. We analyzed the distribution of KRAS amplification according to cancer type and its correlation with tumor mutation burden (TMB). Concomitant KRAS mutations were also identified. RESULTS: Of the total 3895 patients, 99 (2.5 %) had KRAS amplification. The highest frequency of KRAS amplification was detected in 2 % (27/1350) of patients with colorectal cancer, followed by 3.48 % (32/920) of patients with gastric cancer and 3.88 % (9/232) patients with of pancreatic cancer. MSI-High was not detected in patients with KRAS amplification. There was no correlation between KRAS copy number variation and TMB status. Among patients with KRAS amplification, 27.3 % (27/99) had a concomitant KRAS mutation. More than 50 % of patients had G12D or G12V mutations. In gastric cancer, patients with both KRAS amplification and mutation were extremely rare at 3.1 % (1/32); however, in colorectal cancer, more than half of the patients had KRAS amplification and mutation (51.9 %, 14/27). KRAS amplification and mutations are associated with mutations in tumor suppressor genes TP53, BRCA2, ARID1B, and PTCH1. CONCLUSIONS: Of the 3895 patients with metastatic solid tumors, 99 (2.5 %) had KRAS amplification, and next-generation sequencing analysis provided a deeper understanding of KRAS amplification.

Real-world Comparison of P53 Immunohistochemistry and TP53 Mutation Analysis Using Next-generation Sequencing.

BACKGROUND/AIM: TP53 mutation in breast cancer (BC) is associated with chemoresistance, endocrine therapy resistance, and late recurrence, resulting in poor prognosis. Nuclear accumulation of p53 in immunohistochemistry (IHC) is a surrogate marker of TP53 mutation. This study analyzed the frequency, type, and distribution of TP53 mutations in BCs and assessed the efficacy of p53 IHC as a surrogate marker of TP53 mutation. PATIENTS AND METHODS: We collected data from 112 BC cases, including the results of p53 IHC and next-generation sequencing (NGS). RESULTS: Over-expression of p53 IHC was observed in 36 patients (32.1%), complete absence in 19 patients (17.0%), aberrant cytoplasmic staining in 1 patient (0.9%), and wild-type in 56 (50.0%) patients. The concordance rate between TP53 mutation and p53 IHC was 88.4% in all BCs, 89.9% in luminal BCs, and 86.0% in triple-negative BCs (TNBC). TNBC, abnormal p53 IHC pattern, p53 IHC over-expression, neoadjuvant chemotherapy (NAC) history, TP53 mutation, and high pre-treatment ki-67 labeling index (≥50%) were significantly associated with worse distant metastasis-free survival (DMFS) and overall survival (OS) (p<0.05). Pre-NAC clinical stage III was associated with worse DMFS but not OS. Multivariate analysis showed that NAC history, TNBC, and p53 IHC over-expression were independent predictors of worse DMFS. An abnormal p53 IHC pattern and NAC history were independent predictors of worse OS. CONCLUSION: P53 IHC is a valid surrogate marker of TP53 mutation in BC. Accumulation of abnormal p53 alone, regardless of TP53 mutation, was associated with worse DMFS and can be used as an easily accessible biomarker to predict chemoresistance.

Comparative analysis of ARID1A mutations with mRNA levels and protein expression in gastric carcinoma.

The ARID1A gene is pivotal in chromatin remodeling and genomic integrity and is frequently mutated in various cancer types. ARID1A mutation is the second most frequently mutated tumor suppressor gene and has been suggested as a predictor of immunotherapeutic responsiveness in gastric carcinoma (GC). Despite its significance, the relationship among ARID1A somatic mutations, RNA expression levels, and protein expression remains unclear, particularly in GC. For this purpose, we performed comparative study in two cohorts. Cohort 1 used next-generation sequencing (NGS) to identify 112 GC cases with ARID1A mutations. These cases were compared with ARID1A immunohistochemistry (IHC) results. Cohort 2 employed microarray gene expression data to assess ARID1A RNA levels and compare them with ARID1A IHC results. In Cohort 1, 38.4% of ARID1A-mutated GC exhibited a complete loss of ARID1A protein when assessed by IHC, whereas the remaining 61.6% displayed intact ARID1A. Discordance between NGS and IHC results was not associated with specific mutation sites, variant classifications, or variant allele frequencies. In Cohort 2, 24.1% of the patients demonstrated a loss of ARID1A protein, and there was no significant difference in mRNA levels between the ARID1A protein-intact and -loss groups. Our study revealed a substantial discrepancy between ARID1A mutations detected using NGS and protein expression assessed using IHC in GC. Moreover, ARID1A mRNA expression levels did not correlate well with protein expression. These findings highlighted the complexity of ARID1A expression in GC.

Next-Generation Sequencing in Breast Cancer Patients: Real-World Data for Precision Medicine.

PURPOSE: Breast cancer is one of the most common causes of cancer-related death in females. Numerous drug-targetable biomarkers and predictive biomarkers have been developed. Some researchers have expressed doubts about the need for next-generation sequencing (NGS) studies in daily practice. This study analyzed the results of NGS studies on breast cancer at a single institute and evaluated the real-world applications of NGS data to precision medicine for breast cancer. MATERIALS AND METHODS: We retrospectively collected the results of NGS studies and analyzed the histopathologic features and genetic profiles of patients treated for breast cancer from 2010 to 2021. Seventy cases had data from CancerSCAN, a customized panel of 375 cancer-associated genes, and 110 cases had data from TruSight Oncology 500. RESULTS: The most frequently detected single nucleotide variant was the TP53 mutation (123/180, 68.3%), followed by PIK3CA mutations (51/180, 28.3%). Estrogen receptor 1 (ESR1) mutation was detected in 11 patients (6.1%), of whom 10 had hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer, and two had no history of prior endocrine therapy. Based on their NGS study results, 13 patients (7.2%) received target therapy. Among them, four patients had a BRCA1 or BRCA2 germline mutation, and nine patients had a PIK3CA mutation. CONCLUSION: NGS can provide information about predictive biomarkers and drug-targetable biomarkers that can enable treatment and participation in clinical trials based on precision medicine. Further studies should be conducted to excavate novel drug-targetable biomarkers and develop additional target therapies.

BAT26 Only Microsatellite Instability with High Tumor Mutation Burden-A Rare Entity Associated with PTEN Protein Loss and High PD-L1 Expression.

Detecting microsatellite instability (MSI) in advanced cancers is crucial for clinical decision-making, as it helps in identifying patients with differential treatment responses and prognoses. BAT26 is a highly sensitive MSI marker that defines the mismatch repair (MMR) status with high sensitivity and specificity. However, isolated BAT26-only instability is rare and has not been previously reported. Of the 6476 cases tested using pentaplex MSI polymerase chain reaction, we identified two BAT26-only instability cases (0.03%) in this study. The case #1 patient was diagnosed with endometrial adenocarcinoma without MMR germline mutations. The endometrial tumor showed BAT26-only instability, partial loss of MLH1/PMS2 protein expression, and a high programmed cell death ligand 1 (PD-L1) combined positive score (CPS = 8). The tumor exhibited a somatic phosphatase and tensin homolog (PTEN) R303P missense mutation and loss of the PTEN protein. On a comprehensive cancer panel sequencing with ≥500 genes, the tumor showed an MSI score of 11.38% and high tumor mutation burden (TMB) (19.5 mt/mb). The case #2 patient was diagnosed with colorectal carcinoma with proficient MMR and PTEN protein loss without PTEN alteration, as well as a high PD-L1 CPS (CPS = 10). A pathogenic KRAS A146T mutation was detected with an MSI score of 3.36% and high TMB (13 mt/mb). In conclusion, BAT26-only instability is very rare and associated with PTEN protein loss, high TMB, and a high PD-L1 score. Our results suggest that patients with BAT26-only instability may show good responses to immunotherapy.

Comparative analysis of microsatellite instability by next-generation sequencing, MSI PCR and MMR immunohistochemistry in 1942 solid cancers.

Checkpoint inhibitor approval for microsatellite instability-high (MSI-H) tumours has made MSI as a therapeutically important biomarker. Next-generation sequencing (NGS)-based MSI detection is being widely used for assessing MSI. However, MSI tumours detected using NGS and their relevance to MSI-polymerase chain reaction (PCR) and mismatch repair deficiency (dMMR) are unclear. In 1942 solid cancer cases tested using NGS-based comprehensive cancer panel with 523 genes (1.94 mb), the MSI score, tumour mutation burden (TMB; ≥ 10 mutations/mb), and frameshift mutations were analysed. GeneScan analyses of five mononucleotide markers (MSI-PCR) and MMR protein immunohistochemistry (IHC) were compared with the NGS-MSI results. With a ≥ 12% MSI score as a cut-off for MSI-H, two MSS cases were classified as MSI-H. With a ≥ 20% cut-off, 10 cases categorised as MSS by NGS were MSI-H/dMMR by MSI-PCR and MMR IHC. To avoid discrepant cases, we adopted a high MSI cut-off and a borderline MSI category. Finally, MSI-H (≥ 20%), borderline MSI (≥ 7% and < 20%), and MSS (< 7%) were found in 35 (1.8%), 24 (1.2%), and 1883 (97%) cases, respectively. All MSI-H cases by NGS were MSI-H/dMMR by MSI-PCR and MMR IHC. Of the 24 borderline MSI cases by NGS, MSI-H/dMMR was 9 (37.5%) cases, MSS/dMMR was 1 (4.2%) case, and 11 (45.8%) of them had high TMB. All MSS cases by NGS were MSS/pMMR by MSI-PCR/IHC, and 257 (13.6%) had high TMB. With those arbitrary cut-off points, 10 (0.5%) MSS cases using NGS were discrepant with MSI-PCR or MMR IHC, and all were borderline MSI cases. The mean number of frameshift mutations was significantly higher in the MSI-H group (28.3) than in the borderline MSI (7.7) or MSS (1.3) groups (p < 0.001). In conclusion, to facilitate therapeutic decision-making for NGS, cut-off points for MSI can be defined based on MSI-PCR/dMMR confirmation.

Direct comparison of the next-generation sequencing and iTERT PCR methods for the diagnosis of TERT hotspot mutations in advanced solid cancers.

BACKGROUND: Mutations in the telomerase reverse transcriptase (TERT) promoter region have been proposed as novel mechanisms for the transcriptional activation of telomerase. Two recurrent mutations in the TERT promoter, C228T and C250T, are prognostic biomarkers. Herein, we directly compared the commercially available iTERT PCR kit with NGS-based deep sequencing to validate the NGS results and determine the analytical sensitivity of the PCR kit. METHODS: Of the 2032 advanced solid tumors diagnosed using the TruSight Oncology 500 NGS test, mutations in the TERT promoter region were detected in 103 cases, with 79 cases of C228T, 22 cases of C250T, and 2 cases of C228A hotspot mutations. TERT promoter mutations were detected from 31 urinary bladder, 19 pancreato-biliary, 22 hepatic, 12 malignant melanoma, and 12 other tumor samples. RESULTS: In all 103 TERT-mutated cases detected using NGS, the same DNA samples were also tested with the iTERT PCR/Sanger sequencing. PCR successfully verified the presence of the same mutations in all cases with 100% agreement. The average read depth of the TERT promoter region was 320.4, which was significantly lower than that of the other genes (mean, 743.5). Interestingly, NGS read depth was significantly higher at C250 compared to C228 (p < 0.001). CONCLUSIONS: The NGS test results were validated by a PCR test and iTERT PCR/Sanger sequencing is sensitive for the identification of the TERT promoter mutations.

Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error.

PURPOSE: Detection of telomerase reverse transcriptase (TERT) promoter mutations is a crucial process in the integrated diagnosis of glioblastomas. However, the TERT promoter region is difficult to amplify because of its high guanine-cytosine (GC) content (> 80%). This study aimed to analyze the capturing of TERT mutations by targeted next-generation sequencing (NGS) using formalin-fixed paraffin-embedded tissues. MATERIALS AND METHODS: We compared the detection rate of TERT mutations between targeted NGS and Sanger sequencing in 25 cases of isocitrate dehydrgenase (IDH)-wildtype glioblastomas and 10 cases of non-neoplastic gastric tissues. Our customized panel consisted of 232 essential glioma-associated genes. RESULTS: Sanger sequencing detected TERT mutations in 17 out of 25 glioblastomas, but all TERT mutations were missed by targeted NGS. After the manual visualization of the NGS data using an integrative genomics viewer, 16 cases showed a TERT mutation with a very low read depth (mean, 21.59; median, 25), which revealed false-negative results using auto-filtering. We optimized our customized panel by extending the length of oligonucleotide baits and increasing the number of baits spanning the coverage of the TERT promoter, which did not amplify well due to the high GC content. CONCLUSION: Our study confirmed that it is crucial to consider the recognition of molecular bias and to carefully interpret NGS data.

High Frequency of Juxtamembrane Domain ERBB2 Mutation in Gastric Cancer.

BACKGROUND/AIM: ERBB2 mutation is an emerging therapeutic target in solid tumors; its therapeutic responses depend on the location of mutation. In gastric cancer, the profiles of ERBB2 mutations and their relationship with human epidermal growth factor receptor 2 (HER2) overexpression remain unknown. We aimed to describe the details of ERBB2 mutations in gastric cancer. PATIENTS AND METHODS: Comprehensive panel sequencing was performed in 234 advanced gastric cancer patients. We investigated hotspots and clinicopathologic features of ERBB2 mutant gastric cancer in a single institute and evaluated the hotspots of ERBB2 mutation in a public database. RESULTS: Eighteen patients (7.7%) had ERBB2 mutations. The most frequent mutation was p.Arg678Gln (42.1%), which was located in the juxtamembrane domain and was the most common mutation in public databases (20.5%). All 18 ERBB2-mutant patients were negative for HER2 expression. Co-occurring genetic alterations included KRAS, PIK3CA, and ATM mutations. CONCLUSION: ERBB2 mutations were not associated with HER2 overexpression in gastric cancer patients. The most common mutation was located in the juxtamembrane domain of ERBB2.

PD-L1 Expression Is Significantly Associated with Tumor Mutation Burden and Microsatellite Instability Score.

Programmed death-ligand 1 (PD-L1) immunohistochemistry (IHC), microsatellite instability (MSI), and tumor mutation burden (TMB) have been proposed as a predictive biomarker to predict response to immune checkpoint blockade (ICB). We aimed to find the relationship of PD-L1 IHC to TMB and MSI using a comprehensive cancer panel assay (CCPA) with >500 genes in advanced cancer patients. CCPA results from 588 archived tissue samples were analyzed for TMB and MSI. In seven samples, whole exome sequencing confirmed TMB with Pearson's correlation coefficient of 0.972 and all MSI-high cases were validated by pentaplex PCR. Association of TMB and MSI with their corresponding PD-L1 IHC was analyzed. The median TMB value of 588 cases was 8.25 mutations (mut)/Mb (range 0-426.8) with different distributions among the tumor types, with high proportions of high-TMB (>10mut/Mb) in tumors from melanoma, colorectal, gastric, and biliary tract. The TMB values significantly correlated with PD-L1 expression, and this correlation was prominent in gastric and biliary tract cancers. Moreover, the MSI score, the proportion of unstable MSI sites to total assessed MSI sites, showed a significant correlation with the TMB values and PD-L1 scores. This study demonstrates that PD-L1 expression is significantly associated with TMB and MSI score and this correlation depends on the location of the primary tumor.