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1. Comparison of germline mutations in African American and Caucasian men with metastatic prostate cancer

   https://doi.org/10.1002/pros.24123  

   Ledet, Elisa M. ; Burgess, Earle F. ; Sokolova, Alexandra O. ; Jaeger, Ellen B. ; Hatton, Whitley ; Moses, Marcus ; Miller, Patrick ; Cotogno, Patrick ; Layton, Jodi ; Barata, Pedro ; et al ( April 2021 , The Prostate)

   The goal of this study is to evaluate germline genetic variants in African American men with metastatic prostate cancer as compared to those in Caucasian men with metastatic prostate cancer in an effort to understand the role of genetic factors in these populations.

   African American and Caucasian men with metastatic prostate cancer who had germline testing using multigene panels were used to generate comparisons. Germline genetic results, clinical parameters, and family histories between the two populations were analyzed.

   A total of 867 patients were included in this retrospective study, including 188 African American and 669 Caucasian patients. There was no significant difference in the likelihood of a pathogenic or likely‐pathogenic variants (PV/LPVs) between African American and Caucasian patients (p = .09). African American patients were more likely to have a variant of unknown significance than Caucasians (odds ratio [OR] = 1.95;p < .0001). BRCA1 PV/LPVs were higher in African Americans (OR = 4.86;p = .04). African American patients were less likely to have a PV/LPV in non‐BRCA DNA repair genes (OR = 0.30;p = .008). Family history of breast (OR = 2.09;p = .002) or ovarian cancer (OR = 2.33;p = .04) predicted PV/LPVs in Caucasians but not African‐Americans. This underscores the limitations of family history in AA men and the importance of personal history to guide germline testing in AA men.

   In metastatic prostate cancer patients, PV/LPVs of tested genes did not vary by race, BRCA1 PV/LPVs were more common in the African American subset. However, PV/LPVs in non‐BRCA DNA repair genes were less likely to be encountered in African Americans. Family history associated with genetic testing results in Caucasians only.

    

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2. Impact of Neoantigen Expression and T-Cell Activation on Breast Cancer Survival

   https://doi.org/10.3390/cancers13122879  

   Li, Wenjing ; Amei, Amei ; Bui, Francis ; Norouzifar, Saba ; Lu, Lingeng ; Wang, Zuoheng ( June 2021 , Cancers)

   Neoantigens are derived from tumor-specific somatic mutations. Neoantigen-based synthesized peptides have been under clinical investigation to boost cancer immunotherapy efficacy. The promising results prompt us to further elucidate the effect of neoantigen expression on patient survival in breast cancer. We applied Kaplan–Meier survival and multivariable Cox regression models to evaluate the effect of neoantigen expression and its interaction with T-cell activation on overall survival in a cohort of 729 breast cancer patients. Pearson’s chi-squared tests were used to assess the relationships between neoantigen expression and clinical pathological variables. Spearman correlation analysis was conducted to identify correlations between neoantigen expression, mutation load, and DNA repair gene expression. ERCC1, XPA, and XPC were negatively associated with neoantigen expression, while BLM, BRCA2, MSH2, XRCC2, RAD51, CHEK1, and CHEK2 were positively associated with neoantigen expression. Based on the multivariable Cox proportional hazard model, patients with a high level of neoantigen expression and activated T-cell status showed improved overall survival. Similarly, in the T-cell exhaustion and progesterone receptor (PR) positive subgroups, patients with a high level of neoantigen expression showed prolonged survival. In contrast, there was no significant difference in the T-cell activation and PR negative subgroups. In conclusion, neoantigens may serve as immunogenic agents for immunotherapy in breast cancer. 

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3. COLD-PCR Enrichment of Rare Cancer Mutations prior to Targeted Amplicon Resequencing

   https://doi.org/10.1373/clinchem.2011.176198  

   Milbury, Coren A. ; Correll, Mick ; Quackenbush, John ; Rubio, Renee ; Makrigiorgos, G. Mike ( January 2020 , Clinical Chemistry)

   Despite widespread interest in next-generation sequencing (NGS), the adoption of personalized clinical genomics and mutation profiling of cancer specimens is lagging, in part because of technical limitations. Tumors are genetically heterogeneous and often contain normal/stromal cells, features that lead to low-abundance somatic mutations that generate ambiguous results or reside below NGS detection limits, thus hindering the clinical sensitivity/specificity standards of mutation calling. We applied COLD-PCR (coamplification at lower denaturation temperature PCR), a PCR methodology that selectively enriches variants, to improve the detection of unknown mutations before NGS-based amplicon resequencing.

   We used both COLD-PCR and conventional PCR (for comparison) to amplify serially diluted mutation-containing cell-line DNA diluted into wild-type DNA, as well as DNA from lung adenocarcinoma and colorectal cancer samples. After amplification of TP53 (tumor protein p53), KRAS (v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog), IDH1 [isocitrate dehydrogenase 1 (NADP+), soluble], and EGFR (epidermal growth factor receptor) gene regions, PCR products were pooled for library preparation, bar-coded, and sequenced on the Illumina HiSeq 2000.

   In agreement with recent findings, sequencing errors by conventional targeted-amplicon approaches dictated a mutation-detection limit of approximately 1%–2%. Conversely, COLD-PCR amplicons enriched mutations above the error-related noise, enabling reliable identification of mutation abundances of approximately 0.04%. Sequencing depth was not a large factor in the identification of COLD-PCR–enriched mutations. For the clinical samples, several missense mutations were not called with conventional amplicons, yet they were clearly detectable with COLD-PCR amplicons. Tumor heterogeneity for the TP53 gene was apparent.

   As cancer care shifts toward personalized intervention based on each patient's unique genetic abnormalities and tumor genome, we anticipate that COLD-PCR combined with NGS will elucidate the role of mutations in tumor progression, enabling NGS-based analysis of diverse clinical specimens within clinical practice.

    

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4. Abstract 2634: The role of Eph A receptor 3 tyrosine kinase signaling in prostate cancer progression

   https://doi.org/10.1158/1538-7445.AM2019-2634  

   Al-Mathkour, Marwah M. ; Cinar, Bekir ( July 2019 , AACR Annual Meeting 2019)

   Dysregulation of the receptor tyrosine kinases (RTKs) by means of mutation, amplification or overexpression plays a crucial role in cell growth, cell survival, cell motility during cancer progression and metastasis. EPHA3 (erythropoietin-producing hepatocellular carcinoma cell surface type A receptor 3) is a member of the RTKs. Evidence indicates that the upregulation of the EPHA3 activity is implicated in the pathobiology of various cancers, including prostate cancer, and thus, it is a prime therapeutic target in cancer. However, the role of EPHA3 signaling in prostate cancer progression remains obscure. Currently, the development of castration-resistant prostate cancer (CRPC) poses a clinical challenge because it is lethal. The molecular mechanisms that contribute to lethal prostate cancer are largely unknown. The objective of this study is to investigate whether EPHA3 signaling plays a critical role in prostate cancer progression and therapeutic relapse. Our analysis of the prostate cancer public datasets revealed that the EPHA3 gene was amplified up to 19% of metastatic CRPC cases with the neuroendocrine phenotype. Our immunological assay confirmed the positive staining of EPHA3 protein in human prostate cancer specimens. Our semi-quantitative and quantitative PCR assays demonstrated that the levels of EPHA3 vary among established prostate cancer cell lines. Nevertheless, we consistently found that the levels of EPHA3 mRNA in CRPC cell line, C4-2, were 3-fold higher than its castration-sensitive parental LNCaP cells. Furthermore, we demonstrated that an increase in expression of EPHA3 mRNA in C4-2 compared with LNCaP cells coincided with the upregulation of the EPHA3 protein, as independently confirmed by western blotting and immunofluorescence imaging. These findings indicate that EPHA3 may confer an aggressive prostate cancer cell phenotype. Because androgen receptor (AR) signaling is a potent mediator of CRPC cell growth and survival, the targeting of EPHA3 signaling alone or together with AR may improve the efficacy of current therapies for patients with advanced prostate cancer. 

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5. Exploring Gut Microbiome in Predicting the Efficacy of Immunotherapy in Non-Small Cell Lung Cancer

   https://doi.org/10.3390/cancers14215401  

   Liu, Ben ; Chau, Justin ; Dai, Qun ; Zhong, Cuncong ; Zhang, Jun ( November 2022 , Cancers)

   We performed various analyses on the taxonomic and functional features of the gut microbiome from NSCLC patients treated with immunotherapy to establish a model that may predict whether a patient will benefit from immunotherapy. We collected 65 published whole metagenome shotgun sequencing samples along with 14 samples from our previous study. We systematically studied the taxonomical characteristics of the dataset and used both the random forest (RF) and the multilayer perceptron (MLP) neural network models to predict patients with progression-free survival (PFS) above 6 months versus those below 3 months. Our results showed that the RF classifier achieved the highest F-score (85.2%) and the area under the receiver operating characteristic curve (AUC) (95%) using the protein families (Pfam) profile, and the MLP neural network classifier achieved a 99.9% F-score and 100% AUC using the same Pfam profile. When applying the model trained in the Pfam profile directly to predict the treatment response, we found that both trained RF and MLP classifiers significantly outperformed the stochastic predictor in F-score. Our results suggested that such a predictive model based on functional (e.g., Pfam) rather than taxonomic profile might be clinically useful to predict whether an NSCLC patient will benefit from immunotherapy, as both the F-score and AUC of functional profile outperform that of taxonomic profile. In addition, our model suggested that interactive biological processes such as methanogenesis, one-carbon, and amino acid metabolism might be important in regulating the immunotherapy response that warrants further investigation. 

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