SGLT2 is upregulated to acquire cisplatin resistance and SGLT2 inhibition reduces cisplatin resistance in hepatoblastoma.

BACKGROUND: Cancer cells can alter glucose metabolism and regulate the expression of glucose transporters. Hepatoblastoma patients undergo cisplatin-based chemotherapy; however, 22.3% of patients develop cisplatin resistance and thus face a poor prognosis. We hypothesized that glucose transporters are associated with acquiring cisplatin resistance with increasing sugar intake inhibiting glucose transporters could reduce cisplatin resistance in hepatoblastoma patients. METHODS: We established cisplatin-resistant HepG2 and HuH6 cells by continuous treatment with cisplatin. We evaluated the relationship between cisplatin resistance and glucose uptake. We used an expression array to select cisplatin-resistant associated glucose transporters and selected sodium-glucose cotransporter 2 (SGLT2). We used dapagliflozin as an SGLT2 inhibitor and evaluated glucose uptake and IC50 after dapagliflozin treatment in wild-type and resistant hepatoblastoma cells in vitro and in vivo. RESULTS: We found a strong relationship between cisplatin resistance and glucose uptake. Additionally, SGLT2 was upregulated in resistant cells after cisplatin treatment. After dapagliflozin treatment, glucose uptake and cisplatin resistance decreased in resistant cells. CONCLUSIONS: Cisplatin-resistant hepatoblastoma cells exhibited upregulated SGLT2 expression and activated glucose uptake to survive under cisplatin stress. SGLT2 inhibition decreased cellular resistance to cisplatin. SGLT2 inhibition with cisplatin therapy could be a novel therapeutic strategy for cisplatin-resistant hepatoblastoma patients.

A novel risk stratification model based on the Children's Hepatic Tumours International Collaboration-Hepatoblastoma Stratification and deoxyribonucleic acid methylation analysis for hepatoblastoma.

INTRODUCTION: Hepatoblastoma (HB) is the most common paediatric liver tumour, and epigenetic aberrations may be important in HB development. Recently, the Children's Hepatic Tumors International Collaboration-Hepatoblastoma Stratification (CHIC-HS) developed risk stratification based on clinicopathological factors. This study aimed to construct a more accurate model by integrating CHIC-HS with molecular factors based on DNA methylation. METHODS: HB tumour specimens (N = 132) from patients treated with the Japanese Pediatric Liver Tumors Group-2 protocol were collected and subjected to methylation analysis by bisulfite pyrosequencing. Associations between methylation status and clinicopathological factors, overall survival (OS), and event-free survival (EFS) were retrospectively analysed. We investigated the effectiveness of the evaluation of methylation status in each CHIC-HS risk group and generated a new risk stratification model. RESULTS: Most specimens (82%) were from post-chemotherapy tissue. Hypermethylation in ≥2 of the four genes (RASSF1A, PARP6, OCIAD2, and MST1R) was significantly associated with poorer OS and EFS. Multivariate analysis indicated that ≥2 methylated genes was an independent prognostic factor (hazard ratios of 6.014 and 3.684 for OS and EFS, respectively). Two or more methylated genes was also associated with poorer OS in the CHIC-very low (VL)-/low (L)-risk and CHIC-intermediate (I) risk groups (3-year OS rates were 83% vs. 98% and 50% vs. 95%, respectively). The 3-year OS rates of the VL/L, I, and high-risk groups in the new stratification model were 98%, 90%, and 62% (vs. CHIC-HS [96%, 82%, and 65%, respectively]), optimising CHIC-HS. CONCLUSIONS: Our proposed stratification system considers individual risk in HB and may improve patient clinical management.

A model to predict upstaging to invasive carcinoma in patients preoperatively diagnosed with ductal carcinoma in situ of the breast.

BACKGROUND: The aims of this study were to determine clinicopathological factors associated with postoperative upstaging to invasive carcinoma in patients preoperatively diagnosed with ductal carcinoma in situ (DCIS) and to develop a model to predict the risk of upstaging. METHODS: Pre- and post-operative pathological diagnoses and radiological findings were assessed for 1,187 consecutive patients. RESULTS: Of the patients, 306 (25.8%) were upstaged on the surgical specimen. In multivariate analysis, the following four factors were significantly associated with upstaging: 1) the presence of sclerosing adenosis on the preoperative biopsy specimen (odds ratio [OR] 0.46, P = 0.013); 2) pleomorphic calcifications on the mammogram (OR 1.68, P = 0.009); 3) a mass suspicious for invasive carcinoma on ultrasonography and/or MRI (OR 2.13, P < 0.001); 4) tumor size ≥2 cm on ultrasonography (OR 1.80, P = 0.032). HER2-positive (OR 1.54, P = 0.062) and comedo necrosis (OR 1.42, P = 0.056) demonstrated a trend towards significance. A prediction model incorporating these variables demonstrated that the risk of upstaging was 5.1% with score 0-2 and was 58.1% with score 10. CONCLUSIONS: The prediction model incorporating clinicopathological features may be used to guide the selection of patients with DCIS for sentinel lymph node biopsy.