Individualized Molecular Profiling for Allocation to Clinical Trials Singapore Study-An Asian Tertiary Cancer Center Experience.

PURPOSE: Precision oncology has transformed the management of advanced cancers through implementation of advanced molecular profiling technologies to identify increasingly defined subsets of patients and match them to appropriate therapy. We report outcomes of a prospective molecular profiling study in a high-volume Asian tertiary cancer center. PATIENTS AND METHODS: Patients with advanced cancer were enrolled onto a prospective protocol for genomic profiling, the Individualized Molecular Profiling for Allocation to Clinical Trials Singapore study, at the National Cancer Center Singapore. Primary objective was to identify molecular biomarkers in patient's tumors for allocation to clinical trials. The study commenced in February 2012 and is ongoing, with the results of all patients who underwent multiplex next-generation sequencing (NGS) testing until December 2018 presented here. The results were discussed at a molecular tumor board where recommendations for allocation to biomarker-directed trials or targeted therapies were made. RESULTS: One thousand fifteen patients were enrolled with a median age of 58 years (range 20-83 years). Most common tumor types were lung adenocarcinoma (26%), colorectal cancer (15%), and breast cancer (12%). A total of 1,064 NGS assays were performed, on fresh tumor tissue for 369 (35%) and archival tumor tissue for 687 (65%) assays. TP53 (39%) alterations were most common, followed by EGFR (21%), KRAS (14%), and PIK3CA (10%). Of 405 NGS assays with potentially actionable alterations, 111 (27%) were allocated to a clinical trial after molecular tumor board and 20 (4.9%) were enrolled on a molecularly matched clinical trial. Gene fusions were detected in 23 of 311 (7%) patients tested, including rare fusions in new tumor types and known fusions in rare tumors. CONCLUSION: Individualized Molecular Profiling for Allocation to Clinical Trials Singapore demonstrates the feasibility of a prospective broad molecular profiling program in an Asian tertiary cancer center, with the ability to develop and adapt to a dynamic landscape of precision oncology.

Breast cancer in women with neurofibromatosis type 1 (NF1): a comprehensive case series with molecular insights into its aggressive phenotype.

PURPOSE: The purpose of the study was to improve the understanding of NF1-associated breast cancer, given the increased risk of breast cancer in this tumour predisposition syndrome and the limited data. METHODS: We identified 18 women with NF1 and breast cancer at our institution. Clinical and pathologic characteristics of NF1-associated breast cancers were compared with 7132 breast cancers in patients without NF1 from our institutional database. Next generation sequencing was performed on DNA from blood and breast cancer specimens available. Blood specimens negative for NF1 mutation were subjected to multiplex ligation-dependent probe amplification (MLPA) to identify complete/partial deletions or duplications. Expression of neurofibromin in the NF1-associated breast cancers was evaluated using immunohistochemistry. RESULTS: There was a higher frequency of grade 3 (83.3% vs 45.4%, p = 0.005), oestrogen receptor (ER) negative (66.7% vs 26.3%, p < 0.001) and human epidermal growth factor receptor 2 (HER2)-positive (66.7% vs 23.4%, p < 0.001) tumours among NF1 patients compared to non-NF1 breast cancers. Overall survival was inferior in NF1 patients in multivariable analysis (hazard ratio 2.25, 95% CI 1.11-4.60; p = 0.025). Apart from germline NF1 mutations (11/16; 69%), somatic mutations in TP53 (8/10; 80%), second-hit NF1 (2/10; 20%), KMT2C (4/10; 40%), KMT2D (2/10; 20%), and PIK3CA (2/10; 20%) were observed. Immunohistochemical expression of neurofibromin was seen in the nuclei and/or cytoplasm of all specimens, but without any consistent pattern in the intensity or extent. CONCLUSIONS: This comprehensive series of NF1-associated breast cancers suggests that their aggressive features are related to germline NF1 mutations in cooperation with somatic mutations in TP53, KMT2C and other genes.

Preoperative Prognostic Factors After Liver Resection for Non-Colorectal, Non-Neuroendocrine Liver Metastases and Validation of the Adam Score in an Asian Population.

BACKGROUND: Historically, the benefit of liver resection for non-colorectal, non-neuroendocrine (NCNN) liver metastases has been controversial. This study aims to determine the preoperative prognostic factors of liver resection for NCNN liver metastases and validate the Adam score in an Asian population. METHODS: Consecutive patients who underwent liver resection for NCNN liver metastases were identified retrospectively from a prospective liver resection database of the single institution between 2001 and 2014. Univariate Cox regression models were used to identify associations with outcome variables. Recurrence-free interval and overall survival were determined using the Kaplan-Meier method and compared using log-rank test. RESULTS: Seventy-eight consecutive patients were identified, which met the study criteria. Univariate analysis demonstrated that adenocarcinoma histology of primary cancer, disease-free interval and number of nodules were significant predictors of survival. Four of the six components of Adam score were significant predictors of survival. These were the presence of extrahepatic metastases, R2 resection, disease-free interval and type of a primary tumour. The total Adam score was also a significant predictor of survival. CONCLUSION: Liver resection for NCNN liver metastases is a safe and viable treatment option in carefully selected patients. Significant preoperative prognostic factors include adenocarcinoma primary tumours, disease-free interval and number of nodules. The total Adam score was a good predictor of overall survival and can be used to risk stratify patients undergoing hepatic resection for NCNN liver metastases.

Phenotype-driven precision oncology as a guide for clinical decisions one patient at a time.

Genomics-driven cancer therapeutics has gained prominence in personalized cancer treatment. However, its utility in indications lacking biomarker-driven treatment strategies remains limited. Here we present a "phenotype-driven precision-oncology" approach, based on the notion that biological response to perturbations, chemical or genetic, in ex vivo patient-individualized models can serve as predictive biomarkers for therapeutic response in the clinic. We generated a library of "screenable" patient-derived primary cultures (PDCs) for head and neck squamous cell carcinomas that reproducibly predicted treatment response in matched patient-derived-xenograft models. Importantly, PDCs could guide clinical practice and predict tumour progression in two n = 1 co-clinical trials. Comprehensive "-omics" interrogation of PDCs derived from one of these models revealed YAP1 as a putative biomarker for treatment response and survival in ~24% of oral squamous cell carcinoma. We envision that scaling of the proposed PDC approach could uncover biomarkers for therapeutic stratification and guide real-time therapeutic decisions in the future.Treatment response in patient-derived models may serve as a biomarker for response in the clinic. Here, the authors use paired patient-derived mouse xenografts and patient-derived primary culture models from head and neck squamous cell carcinomas, including metastasis, as models for high-throughput screening of anti-cancer drugs.

Identification and functional validation of caldesmon as a potential gastric cancer metastasis-associated protein.

In this study, we aim to identify biomarkers for gastric cancer metastasis using a quantitative proteomics approach. The proteins extracted from a panel of 4 gastric cancer cell lines, two derived from primary cancer (AGS, FU97) and two from lymph node metastasis (AZ521, MKN7), were labeled with iTRAQ (8-plex) reagents and analyzed by 2D-LC-MALDI-TOF/TOF MS. In total, 641 proteins were identified with at least a 95% confidence. Using cutoff values of >1.5 and <0.67, 19 proteins were found to be up-regulated and 34 were down-regulated in the metastatic versus primary gastric cancer cell lines respectively. Several of these dysregulated proteins, including caldesmon, were verified using Western blotting. It was found that caldesmon expression was decreased in the two metastasis-derived cell lines, and this was confirmed by further analysis of 7 gastric cancer cell lines. Furthermore, immunohistochemical staining of 9 pairs of primary gastric cancer and the matched lymph node metastasis tissue also corroborated this observation. Finally, knockdown of caldesmon using siRNA in AGS and FU97 gastric cancer cells resulted in an increase in cell migration and invasion, while the overexpression of caldesmon in AZ521 cells led to a decrease in cell migration and invasion. This study has thus established the potential role of caldesmon in gastric cancer metastasis, and further functional studies are underway to delineate the underlying mechanism of action of this protein.

Effect of concomitant statin, metformin, or aspirin on rituximab treatment for diffuse large B-cell lymphoma.

Several pre-clinical studies report that statins interfere with the surface binding of rituximab to CD20. This study investigated the effects of statins in patients with diffuse large B-cell lymphoma (DLBCL) receiving rituximab-based chemoimmunotherapy, and the impact of commonly used drugs, metformin and aspirin, on the clinical outcomes of patients receiving chemoimmunotherapy. We included 213 patients with DLBCL who received rituximab-based chemoimmunotherapy. Details of statin, metformin, and aspirin use and initiation of chemoimmunotherapy were abstracted from medical records. All patients received rituximab, and 47 (22.1%) were taking statins. The median age of patients receiving statins was significantly higher compared to those who did not (p <0.001). Response rates between patients receiving and not receiving statins were not significantly different (85.1% vs. 87.3%; p = 0.688). Event-free survival (EFS) was not significantly different (p = 0.352). Overall survival was lower in patients receiving statins compared to those who did not (p = 0.036). However, it was no longer significant after adjustment for age (p = 0.140). Metformin had no impact on the response rate (p = 0.268), EFS (p = 0.574), and overall survival (p = 0.141). Aspirin had no impact on the response rate (p = 0.784), EFS (p = 0.836), and overall survival (p = 0.779). Statins do not interfere with rituximab, and need not be withheld during rituximab administration. Larger studies are needed to confirm the impact of metformin and aspirin on patients with DLBCL receiving chemoimmunotherapy.

Risk of hepatitis B virus (HBV) reactivation in hepatitis B surface antigen negative/hepatitis B core antibody positive patients receiving rituximab-containing combination chemotherapy without routine antiviral prophylaxis.

The use of rituximab has been associated with increased risk of hepatitis B virus (HBV) reactivation in patients who are hepatitis B surface antigen (HBsAg) negative and antihepatitis B core antibody (anti-HBc) positive. We aim to determine the rate of HBV reactivation in this group of patients who received rituximab-containing combination chemotherapy without concomitant antiviral prophylaxis and to identify potential risk factors for reactivation. Sixty-two HBsAg negative/anti-HBc positive patients with B-cell lymphoma treated with rituximab-based immunochemotherapy from 2006 to 2009 were included. None of the patients received concomitant antiviral prophylaxis. In this cohort, 48 (77%) patients received rituximab with cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP), eight (13%) received rituximab with cyclophosphamide, vincristine and prednisolone, and six (10%) received other chemotherapy regimens. Two patients suffered HBV reactivation; both were above 70 years of age, received R-CHOP chemotherapy and were negative for antihepatitis B surface antibody (anti-HBs) at baseline. One of the two patients reactivated shortly after completion of R-CHOP chemotherapy while the other reactivated during rituximab maintenance treatment. Thus, the overall reactivation rate in this cohort of patients is 3% (2/62), 4% (2/48), and 25% (1/4) in patients who received R-CHOP chemotherapy and who received rituximab maintenance, respectively. The rate of HBV reactivation is low in patients who are HBsAg negative/anti-HBc positive receiving rituximab-based combination chemotherapy without concomitant antiviral prophylaxis. However, elderly patients, particularly those without anti-HBs, seemed particularly at risk.

"Anti-HBc alone" in human immunodeficiency virus-positive and immuno-suppressed lymphoma patients.

Hepatitis B virus (HBV) infection is endemic in various parts of the world. A proportion of patients have resolved prior exposure to HBV, as evidenced by the clearance of circulating hepatitis B surface antigen and the appearance of antibody to hepatitis B core antigen (anti-HBc), which could produce protective antibody to hepatitis B surface antigen (anti-HBs). With time, anti-HBs in some patients may become negative. Such patients are described as having occult HBV infection or "anti-HBc alone". In the context of immunodeficient patients, such as HIV patients or lymphoma patients undergoing immunosuppressive immunotherapy, the lack of protective anti-HBs may increase the risk of hepatitis B reactivation. Serum HBV DNA testing may be necessary in "anti-HBc alone" patients, to detect patients at a high risk of developing HBV infection allowing appropriate prophylactic management.

Osteoradionecrosis of the cervical spine complicated by pneumocephalus and meningitis in a nasopharyngeal cancer patient radically treated with radiotherapy 11 years ago.

Superimposed infection of osteoradionecrotic cervical spine with cranial extension is difficult to treat and potentially fatal. This report describes the case of a middle-aged Chinese man 11 years post radical radiotherapy for nasopharyngeal cancer with no evidence of disease presenting initially with neck pain secondary to cervical osteoradionecrosis. He was re-admitted a month later with aspiration pneumonia associated with Streptococcus milleri bacteraemia, complicated by septic shock. The last re-admission was 2 months later with fever, expressive dysphasia and right upper motor neuron signs. There was interval increase of dental and peridental soft tissue mass, interval widening of atlantodental distance on MRI cervical spine associated with pneumocephalus, meningeal enhancement and pre-pontine soft tissue mass on CT brain consistent with infected osteoradionecrotic cervical spine complicated by cranial extension. The patient also had concomitant bilateral pneumonia and subsequently passed away from fulminant sepsis.

Modelling the utility of body temperature readings from primary care consults for SARS surveillance in an army medical centre.

INTRODUCTION: There is interest in surveillance systems for outbreak detection at stages where clinical presentation would still be undifferentiated. Such systems focus on detecting clusters of syndromes in excess of baseline levels, which may indicate an outbreak. We model the detection limits of a potential system based on primary care consults for the detection of an outbreak of severe acute respiratory syndrome (SARS). MATERIALS AND METHODS: Data from an averaged-sized medical centre were extracted from the Patient Care Enhancement System (PACES) [the electronic medical records system serving the Singapore Armed Forces (SAF)]. Thresholds were set to 3 or more cases presenting with particular syndromes and a temperature reading of >or=38oC (T >or=38). Monte Carlo simulation was used to insert simulated SARS outbreaks of various sizes onto the background incidence of febrile cases, accounting for distribution of SARS incubation period, delay from onset to first consult, and likelihood of presenting with T >or=38 to the SAF medical centre. RESULTS: Valid temperature data was available for 2,012 out of 2,305 eligible syndromic consults (87.2%). T >or=38 was observed in 166 consults (8.3%). Simulated outbreaks would peak 7 days after exposure, but, on average, signals at their peak would consist of 10.9% of entire outbreak size. Under baseline assumptions, the system has a higher than 90% chance of detecting an outbreak only with 20 or more cases. CONCLUSIONS: Surveillance based on clusters of cases with T >or=38 helps reduce background noise in primary care data, but the major limitation of such systems is that they are still only able to confidently detect large outbreaks.