A phase II study of preoperative capecitabine in women with operable hormone receptor positive breast cancer

A Correlation Analysis Between Metabolism-related Genes and Treatment Response to S-1 as First-line Chemotherapy for Metastatic Breast Cancer: The SELECT BC-EURECA Study

INTRODUCTION

The previous randomized phase 3 trial (SELECT BC) showed that S-1 as a first-line chemotherapy for metastatic breast cancer (MBC) is non-inferior to taxane with respect to overall survival. This study aimed to identify the usefulness of metabolism-related genes as predictive biomarkers for the response to S-1 compared with taxane using tumor tissue samples from the previous trial.   PATIENTS AND METHODS: In this SELECT BC-EURECA study, 147 patients with human epidermal growth factor 2 (HER2)-negative MBC who received either S-1 or taxane were evaluated. Formalin-fixed paraffin-embedded specimens were collected, and 14 genes involved in the pyrimidine metabolic pathway, estrogen receptor, progesterone receptor, HER2, Ki67, and beta-tubulin were measured using reverse transcription polymerase chain reaction in microdissected tumor specimens. The expression of each gene was categorized as low, intermediate, and high by tertile values.   RESULTS: Interaction tests to identify biomarkers for the response to S-1 compared with taxane, revealed the following as the top 3 biomarkers: RRM1 (P value = 0.24), GGH (P value = 0.25), and MTHFR (P value = 0.28). In the S-1 group, lower GGH and higher MTHFR expression were significantly correlated with better time to treatment failure. In the taxane group, there was no gene that was identified as a significant indicator of treatment failure.

CONCLUSION

This biomarker analysis from SELECT BC did not identify any predictive biomarkers for the response to S-1 compared with taxane. Future studies with larger sample size and information on not only mRNA, but also protein and DNA for broad functional analyses are needed.

A systematic analysis of a potential metabolism-related prognostic signature for breast cancer patients

Background

Metabolic pathways play an essential role in breast cancer. However, the role of metabolism-related genes in the early diagnosis of breast cancer remains unknown.

Methods

In our study, RNA sequencing (RNA-seq) expression data and clinicopathological information from The Cancer Genome Atlas (TCGA) and GSE20685 were obtained. Univariate cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses were performed on the differentially expressed metabolism-related genes. Then, the formula of the metabolism-related risk model was composed, and the risk score of each patient was calculated. The breast cancer patients were divided into high-risk and low-risk groups with a cutoff of the median expression value of the risk score, and the prognostic analysis was also used to analyze the survival time between these two groups. In the end, we also analyzed the expression, interaction, and correlation among genes in the metabolism-related gene risk model.

Results

The results from the prognostic analysis indicated that the survival was significantly poorer in the high-risk group than in the low-risk group in both TCGA and GSE20685 datasets. In addition, after adjusting for different clinicopathological features in multivariate analysis, the metabolism-related risk model remained an independent prognostic indicator in TCGA dataset.

Conclusions

In summary, we systematically developed a potential metabolism-related gene risk model for predicting prognosis in breast cancer patients.

Proteomic profiling of the cancer cell secretome: informing clinical research

INTRODUCTION

Cancer represents one of the major causes of human deaths. Identification of proteins as biomarkers for early detection of cancer and therapeutic targets for cancer treatment are important issues in precision medicine. Secretome of cancer cells represents the collection of proteins secreted or shed from cancer cells. Proteomic profiling of the cancer cell secretome has been proven to be a convenient and efficient way to discover cancer biomarker and/or therapeutic targets. Areas covered: There have been numerous reviews describing the history and application of secretome analysis in cancer biomarker/therapeutic target research. The present review focuses on the technological advancement for profiling low-molecular-mass proteins in secretome, the latest information regarding the new candidate biomarkers and molecular mechanisms discovered on the basis of cancer cell secretome analysis, as well as the previously discovered candidate biomarkers that enter into clinical trials. Expert commentary: Current technologies for protein sample preparation/separation and MS-based protein identification have allowed in-depth analysis of cancer cell secretome. Future efforts should focus on the comprehensiveness of cancer cell secretome, meta-analysis of different secretome datasets and integrated analysis via combining other omics datasets, as well as the incorporation of MS-based biomarker verification pipeline into both preclinical studies and clinical trials.

Evaluation of the clinical benefits of adjuvant capecitabine monotherapy in elderly women with breast cancer: A retrospective study

Capecitabine is orally administered and may be safely and conveniently used in patients with cancer. The antitumor activity of capecitabine in breast cancer was mostly demonstrated in the salvage therapy setting, whereas the effect of adjuvant capecitabine monotherapy in breast cancer remains unclear. The aim of the present study was to evaluate adjuvant capecitabine monotherapy in elderly women with breast cancer. A total of 251 patients were enrolled and survival was compared between elderly breast cancer patients who received adjuvant capecitabine monotherapy and those who received no chemotherapy. Cancer-specific and disease-free survival curves were compared using log-rank tests and survival curves were calculated using the Kaplan-Meier method. Multivariate analyses were conducted using Cox's proportional hazard regression model. There was no significant difference between the clinicopathological characteristics, including age, tumor size, lymph node status, histological grade and hormone status, between patients in the two groups. The breast cancer-specific survival rate was 89.3% in the capecitabine monotherapy group vs. 81.3% in the no chemotherapy group; the difference was not statistically significant (P=0.128). The disease-free survival rate was 81.7% in the capecitabine monotherapy group vs. 65.3% in the no chemotherapy group. Kaplan-Meier analysis indicated a longer disease-free survival in the capecitabine monotherapy group (P=0.015). On Cox regression analysis, capecitabine monotherapy was found to be associated with the disease-free survival rate (P=0.014, hazard ratio=0.500) but not with the cancer-specific survival rate (P=0.181). The adverse events of capecitabine monotherapy were recorded and there was no chemotherapy interruption due to severe adverse reactions. Therefore, adjuvant capecitabine monotherapy in elderly women with breast cancer is a safe and effective option, as well as a viable alternative for elderly breast cancer patients who refuse standard adjuvant therapy.

A comparison of toxicity profiles between the lower and standard dose capecitabine in breast cancer: a systematic review and meta-analysis

Capecitabine 1000 mg/m(2) bid × 14 days every 21 days (14/21) has been reported to have similar efficacy but more favorable toxicity profile than the approved dosage of 1250 mg/m(2). However, a dose-toxicity relationship of capecitabine in breast cancer patients has not been fully elucidated. We performed a systematic review and meta-analysis to compare a safety profile between capecitabine starting dose of 1000 and 1250 mg/m(2) bid. Studies were identified using PubMed, ASCO, and San Antonio Breast Cancer Symposium abstract databases through December 2015. Eligible trials included phase II/III trials of capecitabine monotherapy at 1000 or 1250 mg/m(2) bid (14/21) for breast cancer patients that reported adequate safety data for all (grade 1-4) or high (grade 3-4) grade hand foot syndrome (HFS), diarrhea, fatigue, nausea, vomiting, stomatitis, neutropenia, thrombocytopenia, or anemia, as well as dose reductions, treatment discontinuation or treatment-related deaths. The summary incidence was calculated using random-effects models. A total of 4833 patients from 34 trials were included. 1218 and 3615 patients were treated with capecitabine 1000 and 1250 mg/m(2) bid, respectively. A significantly lower incidence of dose reduction (15.9 vs. 39.0 %; P = 0.007), high-grade HFS (12.0 vs. 19.0 %; P = 0.01), diarrhea (5.3 vs. 9.1 %; P = 0.01), and neutropenia (1.8 vs. 7.3 %; P < 0.01), and all-grade neutropenia (5.8 vs. 25.4 %; P = 0.01) was seen in capecitabine 1000 mg/m(2) compared to 1250 mg/m(2). Capecitabine monotherapy at 1000 mg/m(2) bid (14/21) has a clinically meaningful and significantly better toxicity profile compared to 1250 mg/m(2) bid (14/21).

Neoadjuvant chemotherapy for different molecular breast cancer subtypes: a retrospective study in Russian population

The aim of this retrospective study was to evaluate the objective clinical response (cOR), pathological complete response (pCR), and progression-free survival (PFS) in 231 Russian patients with four subtypes of breast cancer treated with neoadjuvant chemotherapy. About 130 (56.3 %) patients received anthracycline-based, 56 (24.2 %) capecitabine-containing (CAX), 28 (12.1 %) taxotere and 17 (7.4 %) non-anthracycline-containing chemotherapy regimens at the Tomsk Cancer Research Institute between 2000 and 2010. Tumors were subtyped according to the hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) immunohistochemical data. The majority of tumors (48.9 %) were ER+/PR+ and HER2-negative (HR+/HER2-), 10.4 % were ER+ PR+ and HER2-positive (HR+/HER2+), 9.1 % were ER-/PR- and HER2-overexpressed (HER2-enriched) and 31.6 % were ER-/PR- and HER2-negative (triple negative). Both cOR and pCR were significantly higher in the triple-negative tumors compared to the other subtypes (P = 0.021 and P = 0.033, respectively). Among the four chemotherapy regimens, only CAX regimen had a predictive value for cOR (HR 2.30, 95 % CI 1.16-4.58, P = 0.009). Multivariate regression analysis showed that the triple-negative subtype (HR 2.54, 95 % CI 1.06-1.42, P = 0.011) and CAX regimen (HR 3.01, 95 % CI 1.01-1.46, P = 0.002) were significantly associated with cOR. No association between patient's PFS and a tumor subtype was observed. However, there was a trend for a prolonged PFS among patients with cOR (P = 0.056). Our data indicate a potentially better prognosis for triple-negative breast cancer patients if treated with the CAX neoadjuvant regimen.