A Retrospective Exploratory Analysis for Serum Extracellular Vesicles Reveals APRIL (TNFSF13), CXCL13, and VEGF-A as Prognostic Biomarkers for Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.

Neoadjuvant chemotherapy (NAC) is widely used as a standard treatment for early-stage triple-negative breast cancer (TNBC). While patients who achieve pathologic complete response (pCR) have a highly favorable outcome, patients who do not achieve pCR have variable prognoses. It is important to identify patients who are most likely to have poor survival outcomes to identify candidates for more aggressive therapeutic approaches after NAC. Many studies have demonstrated that cytokines and growth factors packaged into extracellular vesicles (EVs) have an essential role in tumor progression and drug resistance. In this study, we examined the role of serum-derived EV-associated cytokines as prognostic biomarkers for long-term outcomes in patients who underwent anthracycline-taxane-based NAC. We isolated extracellular vesicles from the serum of 190 TNBC patients who underwent NAC between 2015 and 2018 at Samsung Medical Center. EV-associated cytokine concentrations were measured with ProcartaPlex Immune Monitoring 65-plex panels. The prognostic value of EV-associated cytokines was studied. We found that patients with high EV_APRIL, EV_CXCL13, and EV_VEGF-A levels had shorter overall survival (OS). We further evaluated the role of these selected biomarkers as prognostic factors in patients with residual disease (RD) after NAC. Even in patients with RD, high levels of EV_APRIL, EV_CXCL13, and EV_VEGF-A were correlated with poor OS. In all subgroup analyses, EV_CXCL13 overexpression was significantly associated with poor overall survival. Moreover, multivariate analysis indicated that a high level of EV_CXCL13 was an independent predictor of poor OS. Correlation analysis between biomarker levels in EVs and serum showed that EV_VEGF-A positively correlated with soluble VEGF-A but not CXCL13. An elevated level of soluble VEGF-A was also associated with poor OS. These findings suggest that EV_APRIL, EV_CXCL13, and EV_VEGF-A may be useful in identifying TNBC patients at risk of poor survival outcomes after NAC.

Prediction of pathologic complete response to neoadjuvant chemotherapy using machine learning models in patients with breast cancer.

BACKGROUND: The aim of this study was to develop a machine learning (ML) based model to accurately predict pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) using pretreatment clinical and pathological characteristics of electronic medical record (EMR) data in breast cancer (BC). METHODS: The EMR data from patients diagnosed with early and locally advanced BC and who received NAC followed by curative surgery were reviewed. A total of 16 clinical and pathological characteristics was selected to develop ML model. We practiced six ML models using default settings for multivariate analysis with extracted variables. RESULTS: In total, 2065 patients were included in this analysis. Overall, 30.6% (n = 632) of patients achieved pCR. Among six ML models, the LightGBM had the highest area under the curve (AUC) for pCR prediction. After hyper-parameter tuning with Bayesian optimization, AUC was 0.810. Performance of pCR prediction models in different histology-based subtypes was compared. The AUC was highest in HR+HER2- subgroup and lowest in HR-/HER2- subgroup (HR+/HER2- 0.841, HR+/HER2+ 0.716, HR-/HER2 0.753, HR-/HER2- 0.653). CONCLUSIONS: A ML based pCR prediction model using pre-treatment clinical and pathological characteristics provided useful information to predict pCR during NAC. This prediction model would help to determine treatment strategy in patients with BC planned NAC.

Prognostication of a 13-immune-related-gene signature in patients with early triple-negative breast cancer.

PURPOSE: We investigated the expression profiles of immune genes in patients with triple-negative breast cancer (TNBC) to identify the prognostic value of immune genes and their clinical implications. METHODS: NanoString nCounter Analysis of 770 immune-related genes was used to measure immune gene expression in patients with TNBC who underwent curative surgery followed by adjuvant chemotherapy at Samsung Medical Center between 2000 and 2004. Statistical analyses were conducted to identify the associations between gene expression and distant recurrence-free survival (DRFS). RESULTS: Of 1189 patients who underwent curative BC surgery, 200 TNBC patients were included and stage was the only clinical factor predictive of DRFS. In terms of immune genes, 155 of 770 genes were associated with DRFS (p < 0.01). Further multivariate analysis revealed that 13 genes, CD1B, CD53, CT45A1, GTF3C1, IL11RA, IL1RN, LRRN3, MAPK1, NEFL, PRKCE, PTPRC, SPACA3 and TNFSF11, were associated with patient prognosis (p < 0.05). The prognostic value of stage and expression levels of 13 immune genes was analyzed and the area under the receiver operating characteristic curve (AUC) was 0.923. Based on the AUC, we divided patients into three genetic risk groups and DRFS rate was significantly different according to genetic risk groups, even in the same stage (p < 0.001). CONCLUSIONS: In this study, a 13-gene expression profile in combination with stage precisely predicted distant recurrence of early TNBC. Therefore, this 13-immune-gene signature could help predict TNBC prognosis and provide guidance for treatment as well as the opportunity to develop new targets for immunotherapy in TNBC patients.

Metformin and tenovin-6 synergistically induces apoptosis through LKB1-independent SIRT1 down-regulation in non-small cell lung cancer cells.

Sirtuin 1 (SIRT1) is known to play a role in a variety of tumorigenesis processes by deacetylating histone and non-histone proteins; however, antitumour effects by suppressing SIRT1 activity in non-small cell lung cancer (NSCLC) remain unclear. This study was designed to scrutinize clinicopathological significance of SIRT1 in NSCLC and investigate effects of metformin on SIRT1 inhibition. This study also evaluated new possibilities of drug combination using a SIRT1 inhibitor, tenovin-6, in NSCLC cell lines. It was found that SIRT1 was overexpressed in 300 (62%) of 485 formalin-fixed paraffin-embedded NSCLC tissues. Its overexpression was significantly associated with reduced overall survival and poor recurrence-free survival after adjusted for histology and pathologic stage. Thus, suppression of SIRT1 expression may be a reasonable therapeutic strategy for NSCLC. Metformin in combination with tenovin-6 was found to be more effective in inhibiting cell growth than either agent alone in NSCLC cell lines with different liver kinase B1 (LKB1) status. In addition, metformin and tenovin-6 synergistically suppressed SIRT1 expression in NSCLC cells regardless of LKB1 status. The marked reduction in SIRT1 expression by combination of metformin and tenovin-6 increased acetylation of p53 at lysine 382 and enhanced p53 stability in LKB1-deficient A549 cells. The combination suppressed SIRT1 promoter activity more effectively than either agent alone by up-regulating hypermethylation in cancer 1 (HIC1) binding at SIRT1 promoter. Also, suppressed SIRT1 expression by the combination synergistically induced caspase-3-dependent apoptosis. The study concluded that metformin with tenovin-6 may enhance antitumour effects through LKB1-independent SIRT1 down-regulation in NSCLC cells.

miR-106b-5p and miR-17-5p could predict recurrence and progression in breast ductal carcinoma in situ based on the transforming growth factor-beta pathway.

PURPOSE: Ductal carcinoma in situ (DCIS) is well-known precursor of invasive ductal carcinoma (IDC). Parts of patients show recurrence as DCIS or IDC after local treatment, but there are no established markers predicting relapse. We analyzed changes in miRNA and oncogene expression during DCIS progression/evolution to identify potential markers predicting recurrence. METHODS: Forty archival tissues diagnosed as primary or recurrent DCIS and DCIS adjacent to IDC were analyzed. MiRNA hierarchical clustering showed up-regulation of miR-17-5p and miR-106b-5p in recurrent DCIS and DCIS adjacent to IDC. Target genes were predicted based on pre-formed miRNA databases and PanCancer Pathway panel. MiRNAs were transfected into MCF-10A and MCF-7 cells; western blot analysis was performed with MCF-7 cell line to evaluate the effects on TGF-ß downstream pathway. RESULTS: miRNA hierarchical clustering showed 17 dysregulated miRNAs, including miR-17-5p and miR-106b-5p. Based on miRNA database and nCounter Pancancer pathway analysis, TGFßRII was selected as target of miR-106b-5p and miR-17-5p. MiR-106b-5p- and miR-17-5p-transfected MCF-7 cells showed decreased expression of TGFßRII, especially in cells transfected with both miRNAs. CONCLUSION: miR-106b-5p and miR-17-5p might have a role in breast cancer recurrence and progression by suppressing TGF-ß activity, leading to early breast cancer carcinogenesis.

A nomogram to predict pathologic complete response (pCR) and the value of tumor-infiltrating lymphocytes (TILs) for prediction of response to neoadjuvant chemotherapy (NAC) in breast cancer patients.

PURPOSE: The value of tumor-infiltrating lymphocytes (TILs) for prediction of pathologic complete response (pCR) in breast cancer (BC) patients treated with neoadjuvant chemotherapy (NAC) has received increasing attention. In human epidermal growth factor receptor 2 (HER2)-positive BC, advances in HER2-targeted therapy have not yet clarified the clinical implications of pre-NAC TILs. Likewise, the prognostic role of TILs for long-term survival is not well established. METHODS: Pre- and post-NAC TIL levels were evaluated in 248 pair-matched pre-NAC biopsy and post-NAC resection samples, and analyzed for predictive and prognostic significance with other clinicopathologic parameters. Additional 60 pre-NAC biopsy samples of HER2-positive BC treated with a TCHP regimen (docetaxel, carboplatin, and a combination of trastuzumab and pertuzumab) were also assessed. RESULTS: High pre-NAC TILs, clinical nodal stage 0-1 (cN0-1), and negative ER expression were shown to be strong predictive markers for pCR. A nomogram based on these significant clinicopathologic predictors was developed, providing integrated probability of achieving pCR after NAC. The association between high pre-NAC TIL levels and significantly increased pCR rate was also confirmed in HER2-positive BC patients treated with a TCHP regimen. After chemotherapy, increased quantity of post-NAC TILs was shown to have extended BC-specific survival and disease-free survival in univariable and multivariable analyses. CONCLUSIONS: High pre-NAC TIL levels were significantly predictive of pCR in BC, and can act as a surrogate marker for predicting therapeutic effects of a TCHP regimen for HER2-positive BC. Post-NAC TILs in residual disease were a new prognostic marker of risk stratification for long-term survival.

Validation of the new AJCC eighth edition of the TNM classification for breast cancer with a single-center breast cancer cohort.

PURPOSE: The new eighth edition TNM classification by the AJCC for breast cancer (BC) incorporates biologic factors and gene expression prognostic panels, in addition to traditional anatomic factors. In this study, we evaluated the prognostic value of this new staging system compared to the previous AJCC 7th edition staging system. METHODS: We conducted a retrospective analysis of women with stage I, II, or III BC who underwent curative surgery with/without adjuvant systemic therapy at Samsung Medical Center between July 2004 and December 2008. RESULTS: Of 3,208 BCs, this study was analyzed using the information of 2,790 BC patients. Hormone receptor-positive (HR+) and human epidermal growth factor 2 (HER2)- BCs were observed in 62.9% of BCs, HR+/ HER2+ in 9.3%, HR-/HER2- in 17.0%, and HR-/HER2+ in 10.8%. In survival analysis, we observed 245 distant recurrences and 198 deaths caused by BC progression. The median follow-up duration was 116.2 months. 10-year disease-specific survival (DSS) rates according to the AJCC 7th edition criteria were 97.2% of stage IA, 100% of IB, 94.9% of IIA, 87.9% of IIB, 86.4% of IIIA, 95.7% of IIIB, and 65.7% of IIIC (p < 0.001). After applying 8th edition criteria, the 10-year DSS rates were 98.1% of stage IA, 97.7% of IB, 93.8% of IIA, 92.7% of IIB, 88.2% of IIIA, 80.8% of IIIB, and 70.3% of IIIC (p < 0.001). CONCLUSIONS: The AJCC 8th edition clinical staging system provides a good prognostic value and addresses the weakness of the AJCC 7th edition, which uses only anatomical pathologic staging.

Shallow whole genome sequencing for robust copy number profiling of formalin-fixed paraffin-embedded breast cancers.

Pathology archives with linked clinical data are an invaluable resource for translational research, with the limitation that most cancer samples are formalin-fixed paraffin-embedded (FFPE) tissues. Therefore, FFPE tissues are an important resource for genomic profiling studies but are under-utilised due to the low amount and quality of extracted nucleic acids. We profiled the copy number landscape of 356 breast cancer patients using DNA extracted FFPE tissues by shallow whole genome sequencing. We generated a total of 491 sequencing libraries from 2 kits and obtained data from 98.4% of libraries with 86.4% being of good quality. We generated libraries from as low as 3.8 ng of input DNA and found that the success was independent of input DNA amount and quality, processing site and age of the fixed tissues. Since copy number alterations (CNA) play a major role in breast cancer, it is imperative that we are able to use FFPE archives and we have shown in this study that sWGS is a robust method to do such profiling.

Frequency of MED12 mutations in phyllodes tumors: Inverse correlation with histologic grade.

Phyllodes tumor (PT) is a rare breast biphasic tumor with a potential risk of recurrence and metastasis. In this study, the frequency of MED12 mutations in 176 PTs (49 benign, 49 borderline, and 78 malignant) was determined and the prognostic effect of these mutations in malignant type PT was evaluated. Analysis of MED12 mutations was performed by Sanger sequencing targeting the hotspot mutation region (exon 2) of MED12. Immunohistochemistry was also applied for evaluation of MED12 protein expression on tissue microarray blocks for 133 PTs including 50 benign, 50 borderline, and 33 malignant cases. A notable difference in the frequency of MED12 mutations was found according to histologic grade (71.4% of benign PTs, 51% of borderline PTs, 26.9% of malignant PTs; P < 0.001). MED12 protein expression was not correlated with MED12 mutation status. Patients with malignant PTs that harbored MED12 mutations demonstrated improved disease-free survival (DFS) compared with those without MED12 mutation (P = 0.07). MED12 mutation was a common molecular alteration in PT and the frequency of MED12 mutation decreased with increasing histologic grade. In malignant PT, MED12 exon 2 mutations showed improved DFS but without significance. © 2016 Wiley Periodicals, Inc.

Assessment of pathologic response and long-term outcome in locally advanced breast cancers after neoadjuvant chemotherapy: comparison of pathologic classification systems.

PURPOSE: Several pathologic classification systems have been developed to evaluate tumor response after neoadjuvant chemotherapy (NAC) for breast cancer. We aimed to compare pathologic classification systems and to investigate prognostic factors and risk stratification according to molecular subtype in relation to survival. METHODS: We retrospectively evaluated pathologic response after NAC in 485 breast cancer patients by applying the National Surgical Adjuvant Breast and Bowel Project B18 trial (NSABP-B18), Miller and Payne system, Chevallier's classification, Sataloff's classification, residual cancer burden (RCB), residual disease in breast and nodes (RDBN), and clinical-pathologic stage + estrogen receptor status and grade staging system (CPS + EG). RESULTS: All seven classification systems were significantly associated with overall survival (OS) and distant disease-free survival (DDFS). Regarding intrinsic subtypes, all systems were significantly associated with OS and DDFS for triple-negative tumors. Only RCB had prognostic significance for all four subtypes in relation to both OS and DDFS, and RDBN in DDFS only for all subtypes. In risk factor analyses, lymphovascular invasion (LVI), as well as other classic pathologic prognostic factors such as tumor size, lymph node status, and hormonal receptor status, was significantly associated with both OS and DDFS for the entire study group. Regarding subtypes, LVI was associated with DDFS for each subtype except Luminal B-like tumors. CONCLUSIONS: Our results suggest that pathologic classification systems that evaluate residual tumors in both breast and lymph nodes after NAC show better association with clinical outcome. Furthermore, combining LVI with other classic prognostic factors might have prognostic value for the assessment of treatment response after NAC.

Comparative analysis of BRCA1 and BRCA2 variants of uncertain significance in patients with breast cancer: a multifactorial probability-based model versus ACMG standards and guidelines for interpreting sequence variants.

PURPOSE: To investigate variants of uncertain significance (VUS) in BRCA1 and BRCA2, we assessed the multifactorial posterior probability of VUS in BRCA1 and BRCA2 and compared these analyses with interpretations according to the recently released American College of Medical Genetics and Genomics (ACMG) standards and guidelines. METHODS: The analysis involved 715 Korean patients with breast cancer. The multifactorial probability of a VUS was analyzed using the prior probability and combined likelihoods of personal and family history, the pathologic profile of the breast cancer, and co-occurrence with pathogenic variants. Results were compared with those obtained according to the ACMG standards/guidelines. RESULTS: Sixteen VUS from 51 BRCA1 VUS carriers and 28 VUS from 62 BRCA2 VUS carriers were analyzed. There was a slight agreement between the two analyses, with a kappa value of 0.14 (95% confidence interval (CI) = -0.34 to 0.62) for the BRCA1 VUS and a kappa value of 0.17 (95% CI = -0.10 to 0.49) for the BRCA2 VUS. CONCLUSION: We propose that genetic counseling should be based on the concordant results between these two analyses. When discrepancies are found, those variants are still considered VUS and careful counseling should be provided.Genet Med 18 12, 1250-1257.

Expression of FOXM1 and related proteins in breast cancer molecular subtypes.

Forkhead box (FOX) proteins constitute an extended family of transcriptional regulators. FOXM1 is ubiquitously expressed in cells undergoing proliferation, and overexpression of FOXM1 is associated with poor prognosis in various malignant tumours. FOXM1 and FOXO3a are often transcriptionally antagonistic. FOXO3a plays a critical tumour-suppressive role in breast cancer. FOXO activity is modulated by its acetylation status, which is regulated by class III histone deacetylases (sirtuins; also known as SIRTs). This study evaluated the role of FOX proteins and their regulators in each molecular subtype of breast cancer. Immunohistochemical expressions of FOXM1, FOXO3a, SIRT1 and SIRT6 were evaluated in tissue microarray blocks containing 688 consecutive breast cancer samples. Mean expression levels were used to categorize tumours according to the expression of each protein (high or low). High expression of FOXM1 was significantly correlated with high SIRT1 and SIRT6 expression, higher histologic grade and triple-negative breast cancer (TNBC). High expression of nuclear FOXO3a and nuclear SIRT1 was correlated with a lower histologic grade and the hormone receptor-positive/HER2-negative subtype. In survival analysis, FOXM1 was an independent adverse prognostic factor for disease-free and overall survival in the hormone receptor-positive/HER2-negative subtype but not in the HER2-positive subtype or TNBC. In conclusion, although high FOXM1 expression was noted in the TNBC subtype, it had no prognostic impact in TNBC. However, it had prognostic significance in the hormone receptor-positive/HER2-negative subtype.

Shear-wave elastography in invasive ductal carcinoma: correlation between quantitative maximum elasticity value and detailed pathological findings.

BACKGROUND: Further information is needed regarding whether histopathological characteristics affect breast tumor elasticity. PURPOSE: To determine whether maximum elasticity values vary according to tumor-stroma ratio, dominant stroma type, or presence of fibrosis in invasive breast cancer. MATERIAL AND METHODS: This study included 71 patients with invasive ductal carcinoma not otherwise specified (IDC NOS) who underwent breast shear-wave elastography (SWE). Maximum elasticity (Emax) values were retrospectively correlated with pathological findings that included tumor-stroma ratio, dominant stroma type (collagen, fibroblast, lymphocyte), and fibrosis. Multiple linear regression analysis was performed to determine variables independently associated with Emax. RESULTS: High histologic grade was significantly correlated with higher Emax (P = 0.042). Estrogen receptor and progesterone receptor expression negatively correlated with high elasticity values (P = 0.013 and P = 0.03, respectively). Breast cancers that exhibited higher cellularity demonstrated a greater level of stiffness that was not statistically significant (ρ = 0.153; P = 0.193). While dominant stroma type and fibrosis did not affect Emax (P = 0.197 and P = 0.598, respectively), lesion size was significantly associated with Emax (ρ = 0.474, P < 0.001). On multivariate analysis, only lesion size was significantly associated with Emax (P < 0.001). CONCLUSION: The composition of tumors did not affect their Emax.

A seven-gene signature can predict distant recurrence in patients with triple-negative breast cancers who receive adjuvant chemotherapy following surgery.

The aim of this study was to investigate candidate genes that might function as biomarkers to differentiate triple negative breast cancers (TNBCs) among patients, who received adjuvant chemotherapy after curative surgery. We tested whether the results of a NanoString expression assay that targeted 250 prospectively selected genes and used mRNA extracted from formalin-fixed, paraffin-embedded would predict distant recurrence in patients with TNBC. The levels of expression of seven genes were used in a prospectively defined algorithm to allocate each patient to a risk group (low or high). NanoString expression profiles were obtained for 203 tumor tissue blocks. Increased expressions of the five genes (SMAD2, HRAS, KRT6A, TP63 and ETV6) and decreased expression of the two genes (NFKB1 and MDM4) were associated favorable prognosis and were validated with cross-validation. The Kaplan-Meier estimates of the rates of distant recurrence at 10 years in the low- and high-risk groups according to gene expression signature were 62% [95% confidence interval (CI), 48.6-78.9%] and 85% (95% CI, 79.2-90.7%), respectively. When adjusting for TNM stage, the distant recurrence-free survival (DRFS)s in the low-risk group was significantly longer than that in the high-risk group (p <0.001) for early stage (I and II) and advanced stage (III) tumors. In a multivariate Cox regression model, the gene expression signature provided significant predictive power jointly with the TNM staging system. A seven-gene signature could be used as a prognostic model to predict DRFS in patients with TNBC who received curative surgery followed by adjuvant chemotherapy.

Volume-based metabolic tumor response to neoadjuvant chemotherapy is associated with an increased risk of recurrence in breast cancer.

PURPOSE: To evaluate the prognostic value of a volume-based metabolic tumor response to neoadjuvant chemotherapy in patients with locally advanced breast cancer. MATERIALS AND METHODS: This study was approved by the institutional review board, with waivers of informed consent. One hundred sixty-seven patients (mean age, 44 years; range, 22-68 years) with clinical stage II or III breast cancer who underwent fluorine 18 fluorodeoxyglucose positron emission tomography/computed tomography scans at baseline and after completion of neoadjuvant chemotherapy between July 2006 and June 2013 were selected. The association between the metabolic response parameters and the disease-free survival was assessed by using a Cox proportional hazards regression model and time-dependent receiver operating characteristic curve analysis. Metabolic response parameters included the maximum standardized uptake value (SUVmax), the total metabolic tumor volume (MTVtotal), and the relative decrease in SUVmax and MTVtotal. RESULTS: In the Cox model, posttreatment SUVmax (P = .029) and MTVtotal (P = .028) and relative decreases in SUVmax (P = .032) and MTVtotal (P = .005) after neoadjuvant chemotherapy were significantly associated with disease-free survival after adjusting for pretreatment clinical stage, yp stage, and tumor subtype. In the time-dependent receiver operating characteristic curve analysis, MTVtotal after neoadjuvant chemotherapy had the highest association with outcome compared with the other parameters (P < .001). MTVtotal of up to 0.2 cm(3) after neoadjuvant chemotherapy was significantly associated with a favorable outcome in patients who did not achieve pathologic complete response after neoadjuvant chemotherapy. CONCLUSION: The volume-based metabolic tumor response to neoadjuvant chemotherapy is associated with an increased risk of recurrence, regardless of tumor subtype and pathologic tumor response.

Apparent diffusion coefficient in estrogen receptor-positive invasive ductal breast carcinoma: correlations with tumor-stroma ratio.

PURPOSE: To determine whether apparent diffusion coefficient (ADC) values vary according to tumor-stroma ratio, dominant stroma type, or presence of central fibrosis in estrogen receptor-positive breast cancer. MATERIALS AND METHODS: Institutional review board approval was obtained, and patient consent was waived. Sixty-one patients with estrogen receptor-positive invasive ductal carcinoma-not otherwise specified who underwent breast magnetic resonance (MR) imaging with diffusion-weighted (DW) imaging were included in this study. The ADC values of the lesions were measured. Two pathologists evaluated the tumor-stroma ratio, dominant stroma type (collagen, fibroblast, lymphocyte), and central fibrosis. Detectability on DW images was compared between the two groups according to the tumor-stroma ratio (stroma rich or stroma poor). Mean ADC values were retrospectively compared with the tumor-stroma ratio, dominant stroma type, and presence of a central fibrosis. Multiple linear regression analysis was performed to determine variables independently associated with ADC. RESULTS: On DW images, detectability was not significantly different between stroma-rich and stroma-poor groups (P = .244). ADC values were significantly lower in the stroma-poor group (P < .001). The mean ADC values in the collagen-dominant type were lower than in fibroblast-dominant or lymphocyte-dominant types (P = .021). In multiple linear regression analysis, tumor-stroma ratio (P = .007), tumor size (P = .007), and dominant stroma type (collagen dominant, P = .029) were independently correlated with ADC. CONCLUSION: In estrogen receptor-positive breast cancers, ADC values showed significant differences according to the tumor-stroma ratio and dominant stroma type.

Aberrant DNA methylation of integrin α4 in human breast cancer.

Integrins are cell surface receptors that mediate cell-cell/extracellular interactions and have shown an association with metastasis or transformation in several cancers. However, the correlation between the clinicopathological status of breast cancer and the altered integrin α4 status is not clear. In this study, we investigated DNA methylation of integrin α4 in breast cancer. We retrieved 351 cases of surgically resected breast cancer (290 invasive carcinoma and 61 intraductal carcinoma). Methylation-specific polymerase chain reaction was performed to determine integrin α4 methylation status. Integrin α4 methylation was frequently observed in breast cancer specimens (145/351 cases, 41.3 %). In addition, DNA methylation of integrin α4 showed statistical correlation with HER2 positivity and higher histologic grade (p = 0.001, 0.008 in ductal carcinoma in situ and 0.003 in invasive ductal carcinoma). However, other clinicopathological data such as estrogen receptor, progesterone receptor, metastasis, and TNM status showed no statistical correlation. Moreover, we found that the downregulated expression of integrin α4 in a heavily methylated breast cancer cell line (ZR-75) was restored by treatment with 5-aza-2'deoxycytidine, a DNA methyltransferase inhibitor, implying transcriptional silencing by DNA methylation. We observed that integrin α4 methylation is associated with the histologic grade of tumors and lymph node metastasis. Also, this data supports a previous study that suggested integrin α4 and HER2 are involved in the same signaling pathway. DNA methylation of integrin α4 may be a poor prognostic factor which affects undifferentiated histologic change of breast cancer.

Validation and comparison of CS-IHC4 scores with a nomogram to predict recurrence in hormone receptor-positive breast cancers.

The aim of this study was to both develop and validate a nomogram based on the Ki-67 index to predict recurrence. We constructed a nomogram using the Cox proportional hazards model with 953 N0 and N1 postoperative hormone receptor (HR)-positive breast cancer patients and validated it in an external cohort of 895 patients. A prognostic model that used classical variables, Adjuvant! Online, St. Gallen risk stratification, and the four immunohistochemistry (IHC) markers (IHC4 score) was created and assessed by the likelihood ratio χ(2) (LR-χ(2)) test using the bootstrapping method. The nomogram showed an area under the receiver operating characteristic curve (AUC) of 0.75 (95% CI 0.72-0.77) in the training set. The validation set showed good discrimination with an AUC of 0.63 (95% CI 0.60-0.66). In the LR-χ(2) test, the nomogram score was found to be more informative than the IHC4 with clinical score (CS) [LR-χ(2) 13.365 (1 d.f.); 95% CI 2.50-24.23 for CS-IHC4 + nomogram score vs. CS-IHC4] on distant recurrence-free survival. This study implies that the amount of prognostic information contained in the nomogram is superior to that in the CS-IHC4 score in HR-positive N0 and N1 breast cancer patients (NCT1273415).

Prediction of Oncotype DX Recurrence Score Based on Systematic Evaluation of Ki-67 Scores in Hormone Receptor-Positive Early Breast Cancer.

PURPOSE: Oncotype DX (ODX) predicts the risk of recurrence and benefits of adding chemotherapy for patients with estrogen receptor positive (ER+)/human epidermal growth factor receptor 2 negative (HER2-) early-stage breast cancer. We aimed to develop a simplified scoring system using readily available clinicopathological parameters to predict a high-risk ODX recurrence score (RS) while minimizing reproducibility issues regarding Ki-67 index evaluation methods. METHODS: We enrolled 300 patients with ER+/HER2- early breast cancer, for whom ODX RS data were available in the test set. Using the QuPath image analysis platform, we systematically evaluated the average, hotspot, and hottest spot Ki-67 scores in the test set. Logistic regression analyses were conducted to establish a predictive scoring system for high-risk ODX RS. An independent validation set comprising 117 patients over different periods was established. RESULTS: Factors such as age ≤ 50 years, invasive ductal carcinoma tumor type, histologic grade 2 or 3, tumor necrosis, progesterone receptor negativity, and a high Roche-analyzed Ki-67 score (> 20) were associated with high-risk ODX RS. These variables were incorporated into our scoring system. The area under the curve of the scoring system was 0.8057. When applied to both the test and validation sets with a cutoff value of 3, the sensitivity of our scoring system was 92%. CONCLUSION: We successfully developed a scoring system based on the systematic evaluation of Ki-67 scoring methods. We believe that our user-friendly predictive scoring system for high risk ODX RS could help clinicians in identifying patients who may or may require additional ODX testing.

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.