High-grade breast cancers include both highly sensitive and highly resistant subsets to cytotoxic chemotherapy

Long-Term Outcomes of S-1 Combined With Low-Dose Docetaxel as Neoadjuvant Chemotherapy (N-1 Study, Phase II Trial) in Patients With Operable Breast Cancer

BACKGROUND

We previously reported that S-1 and low-dose docetaxel (DOC) (N-1 study, phase II trial) could be a well-tolerated and effective neoadjuvant chemotherapies (NACs) for patients with operable breast cancer. Herein, we analyzed the long-term outcomes and developed clinicopathological and molecular predictors of pathological complete response (pCR).

PATIENTS AND METHODS

Eighty-three patients received S-1 (40 mg/m2 orally on days 1-14) and DOC (40 mg/m2 intravenously on day 1) every 3 weeks for 4 to 8 cycles. Disease-free survival (DFS) and overall survival (OS) were analyzed for each population with a pCR status. To assess the relationship between pCR and clinicopathological factors such as tumor-infiltrating lymphocytes (TILs, 1+ <10%, 2+ 10%-50%, and 3+ >50%) and nuclear grade (NG), microarray was used to compare the microRNA profiles of the pCR and non-pCR groups using core needle biopsy specimens.

RESULTS

With a median follow-up duration of 99.0 (range, 9.0-129.0) months, the 5-year DFS and OS rates were 80.7% and 90.9%, respectively. The 5-year OS rate of the pCR group was significantly better than that of the non-pCR group (100% vs. 86.2%, p = .0176). Specifically, in triple-negative patients, the difference was significant (100% vs. 60.0%, p = .0224). Multivariate analysis revealed that high TILs (≥2-3+) and NG 2-3 independently predicted pCR. Microarray data revealed that 3 miRNAs (miR-215-5p, miR-196a-5p, and miR-196b-5p) were significantly upregulated in the pCR group.

CONCLUSION

Our NAC regimen achieved favorable long-term outcomes and significantly improved OS in the pCR group. High TILs, NG 2-3, and some miRNAs may be predictors of pCR.

Prognostic and predictive value of NanoString-based immune-related gene signatures in a neoadjuvant setting of triple-negative breast cancer: relationship to tumor-infiltrating lymphocytes

The prognostic significance of tumor-infiltrating lymphocytes and immune signals has been described previously in triple-negative breast cancer (TNBC). Furthermore, recent studies have shown that immunologic parameters are relevant for the response to neoadjuvant chemotherapy (NAC) in breast cancer as well as for outcomes after adjuvant chemotherapy. However, immune signals are variable, and which signals are important is largely unknown. We, therefore, evaluated the expression of immune-related genes in TNBC treated with NAC. We retrospectively evaluated biopsy tissue from 55 patients with primary TNBC treated with NAC (anthracycline, cyclophosphamide, and docetaxel) against the NanoString nCounter GX Human Immunology Panel (579 immune-related genes). Higher expression of cytotoxic molecules, T cell receptor signaling pathway components, cytokines related to T helper cell type 1 (Th1), and B cell markers was associated with a pathologic complete response (pCR). Higher expression of NFKB1, MAPK1, TRAF1, CXCL13, GZMK, and IL7R was significantly associated with pCR, higher Miller-Payne grade, and lower residual cancer burden class. Expression of NFKB1, TRAF1, and CXCL13genes, in particular, was significantly correlated with a longer disease-free survival rate. Conversely, patients those who failed to achieve a pCR showed increased expression of genes related to neutrophils. Higher expression of cytotoxic molecules, T cell receptor signaling pathway components, Th1-related cytokines, and B cell markers is correlated with pCR and survival in TNBC patients treated with NAC. Our results suggest that the activation status of neutrophils may provide additional predictive information for TNBC patients treated with NAC.

Tumor-infiltrating lymphocytes are important pathologic predictors for neoadjuvant chemotherapy in patients with breast cancer

Neoadjuvant chemotherapy or preoperative systemic therapy is increasingly considered for patients with operable breast cancer. Patients with breast cancer were examined for pathologic factors predictive of response to neoadjuvant chemotherapy, using an anthracycline-based regimen. For clinical histomorphology and biomarkers, factors were compared among 16 pathologically complete responses and 52 nonpathologically complete responses, using univariate analysis and multivariate regression analysis of principal components, using preneoadjuvant chemotherapy needle biopsy samples as follows: degree of tumor-infiltrating lymphocytes, histologic grade, biology-based tumor type (hormone receptors and HER2 [human epidermal growth factor receptor type 2]), age, clinical TNM stage, and TNM staging. In univariate analysis, high tumor-infiltrating lymphocyte, high histologic grade, and hormone receptors(-)/HER2(+) were significantly associated with pathologically complete responses (93.7%, P < .0001; 81.3%, P = .0206; 43.7%, P = .014, respectively). In multivariate principal component regression analysis, high tumor-infiltrating lymphocytes were the best independent predictor for pathologically complete responses (odds ratio, 4.7; confidence interval, 2.2-10.06; P < .0001). Among tumor-infiltrating lymphocytes and biology-based tumor types, patients with high tumor-infiltrating lymphocytes had pathologically complete responses more than nonpathologically complete responses, especially in the hormone receptors(-)/HER2(+) group. Among high tumor-infiltrating lymphocyte cases, T lymphocytes showed more predominant tendency than B lymphocytes in the pathologically complete responses cases, compared with nonpathologically complete responses cases. These findings indicate that high tumor-infiltrating lymphocytes are important predictors of pathologically complete responses to neoadjuvant chemotherapy, especially in the hormone receptors(-)/HER2(+) group.

Hereditary breast and ovarian cancer (HBOC): clinical features and counseling for BRCA1 and BRCA2, Lynch syndrome, Cowden syndrome, and Li-Fraumeni syndrome

This article provides an overview of the molecular changes associated with inherited gynecologic malignancies and the incorporation of this information in the counseling of individuals at increased risk for developing malignancies, as well as conventional and emerging approaches to the screening of the general population. Cancer genetic counseling and its role in women's health care is examined. The focus is hereditary breast and ovarian cancer; however, cancer predisposition caused by genes other than BRCA1 and BRCA2 is also considered. The aim is to provide a foundation for counseling based on fundamental knowledge of the genes and their clinical consequences. The reader is then guided through the mechanics of risk assessment for individual patients, concluding with the psychosocial implications of counseling.

Reinventing diagnostics for personalized therapy in oncology

Human cancers are still diagnosed and classified using the light microscope. The criteria are based upon morphologic observations by pathologists and tend to be subject to interobserver variation. In preoperative biopsies of non-small cell lung cancers, the diagnostic concordance, even amongst experienced pulmonary pathologists, is no better than a coin-toss. Only 25% of cancer patients, on average, benefit from therapy as most therapies do not account for individual factors that influence response or outcome. Unsuccessful first line therapy costs Canada CAN$1.2 billion for the top 14 cancer types, and this extrapolates to $90 billion globally. The availability of accurate drug selection for personalized therapy could better allocate these precious resources to the right therapies. This wasteful situation is beginning to change with the completion of the human genome sequencing project and with the increasing availability of targeted therapies. Both factors are giving rise to attempts to correlate tumor characteristics and response to specific adjuvant and neoadjuvant therapies. Static cancer classification and grading systems need to be replaced by functional classification systems that not only account for intra- and inter- tumor heterogeneity, but which also allow for the selection of the correct chemotherapeutic compounds for the individual patient. In this review, the examples of lung and breast cancer are used to illustrate the issues to be addressed in the coming years, as well as the emerging technologies that have great promise in enabling personalized therapy.