The expression profile of Gasdermin C-related genes predicts the prognosis and immunotherapy response of pancreatic adenocarcinoma.

Pancreatic adenocarcinoma (PAAD) has a poor prognosis and is relatively unresponsive to immunotherapy. Gasdermin C (GSDMC) induces pyroptosis in cancer cells and inflammation in the tumor microenvironment. However, whether GSDMC expression in PAAD is associated with survival or response to immunotherapy remains unknown. GSDMC expression and the relationship between GSDMC and patient survival or immune infiltration in PAAD were examined using data in the The Cancer Genome Atlas (TCGA), Gene Expression Ominbus (GEO), Genotype-Tissue Expression (GTEx) and Cancer Cell Line Encyclopedia (CCLE) databases. The TCGA PAAD cohort could be divided into two distinct risk groups based on the expression of GSDMC-related genes (GRGs). The TIDE algorithm predicted that the low-risk group was more responsive to immune checkpoint blockade therapy than the high-risk group. A novel 15-gene signature was constructed and could predict the prognosis of PAAD. In addition, the 15-gene signature model predicted the infiltration of immune cells and Immune checkpoint blockade (ICB) treatment response. Immunohistochemical staining assessment of patient-derived human tissue microarray (TMA) from 139 cases of local PAAD patients revealed a positive correlation between GSDMC expression and PD-L1 expression but a negative correlation between GSDMC expression and infiltration of low CD8+ T cells. Moreover, the overexpression of GSDMC was related to poor overall survival (OS). This study suggests that GSDMC is a valuable biomarker for predicting PAAD prognosis and predicts the immunotherapy response of PAAD.

Predictive role of preoperative geriatric nutritional risk index for clinical outcomes in surgical gastric cancer patients: A meta-analysis.

Purpose: The association between the preoperative Geriatric Nutritional Risk Index (GNRI) and postoperative short-term and long-term clinical outcomes remains unclear. The aim of this meta-analysis was to identify the predictive role of the preoperative GNRI for postoperative clinical outcomes of gastric cancer patients based on current evidence. Methods: Several databases were searched up to July 28, 2022. The primary and secondary outcomes were long-term survival, including overall survival (OS), cancer-specific survival (CSS) and postoperative complications. Meanwhile, the hazard ratios (HRs) and relative risks (RRs) with 95% confidence intervals (CIs) were combined to assess the association of preoperative GNRI with postoperative survival and complications separately. The results Eight studies involving 4,189 patients were included, and they were all from Japan. The pooled results demonstrated that a lower preoperative GNRI was significantly related to worse OS (HR = 1.72, 95% CI: 1.18-2.53, P = 0.005) and CSS (HR = 1.67, 95% CI: 1.20-2.32, P = 0.002). Meanwhile, a lower preoperative GNRI was significantly associated with postoperative complications (RR = 1.97, 95% CI: 1.51-2.58, P < 0.001). Further analysis focusing on elderly patients showed similar results. Conclusion: Preoperative GNRI is related to postoperative short-term and long-term clinical outcomes of Japanese gastric cancer patients, and a lower GNRI predicts poorer prognosis.

Associations Between Serum Reproductive Hormone Concentrations and Hormonal Receptor Status Among Postmenopausal Chinese Women With Breast Cancer: An Observational Study.

Background and Objectives: Reproductive hormones and receptors play crucial roles in breast cancer development and progression. The association between preoperative serum reproductive hormone levels and receptor status in postmenopausal women with breast cancer remains unclear. Therefore, this study investigated the relationship between serum reproductive hormone concentrations and patient characteristics and hormone receptor status among postmenopausal Chinese women with breast cancer. Materials and Methods: The medical records of 352 postmenopausal breast cancer patients who underwent an operation between October 2007 and October 2010 at the Department of Breast Tumor Surgery of Zhejiang Cancer Hospital were retrospectively evaluated. Serum levels of reproductive hormones were measured before surgery by liquid-chromatography tandem mass spectrometry. Hormone receptor levels were measured by an immunohistochemical assay using a mouse monoclonal antibody. The associations between serum hormone concentrations and hormone receptors were investigated by analysis of covariance. Results: In this patient cohort, the serum level of luteinizing hormone (LH) declined with PMP duration. The median LH concentration was significantly higher in patients within 5 years of PMP than that in patients with PMP duration exceeding 5 years (23 vs. 18.32 mIU/ml, P <.0001). Significantly more patients with strong estrogen receptor (ER) or progesterone receptor (PR) expression had postmenopausal durations of less than 5 years compared to those with postmenopausal durations greater than 5 years (103 vs. 61 cases, P = .019; 93 vs. 46 cases, P = .0005). While most patients either lacked (97.1%) or co-expressed (84.3%) ER and PR, some patients expressed either ER or PR alone. ER and PR expression were negatively associated with receptor-tyrosine kinase erbB-2 (HER2) expression in postmenopausal patients with breast cancer. Meanwhile, increased ER and PR expression were associated with decreased serum levels of LH or follicle-stimulating hormone (FSH). Conclusion: Decreased serum LH and FSH levels were associated with increased ER and PR expressions and decreased HER2 expression in postmenopausal patients with breast cancer.

Combined mRNAs and clinical factors model on predicting prognosis in patients with triple-negative breast cancer.

OBJECTIVE: Triple-negative breast cancer (TNBC) is aggressive cancer usually diagnosed in young women with no effective prognosis prediction model to use. The present study was performed to develop a useful prognostic model for predicting overall survival (OS) for TNBC patients. METHODS: The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) databases were used as training and validation data sets, respectively, in which the gene expression levels and clinical prognostic information of TNBC were collected. Differentially expressed genes (DEGs) between TNBC and non-TNBC (NTNBC) were identified with the thresholds of false discovery rate < 0.05 and |log2 Fold Change| > 1. DEGs in AmiGO2 and the Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were retained for further study. Univariate, multivariate Cox, and logistic regression analysis were conducted for detecting DEG signature with the threshold of log-rank P < 0.05. The prognosis models of mRNA signature, clinical factors were constructed and compared. RESULTS: One five-DEG signature, including CHST4, COCH, CST9, SOX11, and TDGF1 was identified in DEG prognosis model. Stratified analysis showed that the patients aged over 60, with higher pathologic stage (III-IV) and recurrence induced a significantly lower survival rate than those aged below 60, lower pathologic stage and without recurrence. Compared with patients with low-risk scores, those presented high-risk scores demonstrated significantly lower survival rate in the subgroup aged over 60 [HR = 3.780 (1.801-7.933), P < 0.0001]. For patients who obtained a higher pathologic stage and recurrence, high-risk scores were correlated with a significantly lower survival rate than patients with low-risk scores. The five-mRNA signature combined with clinical model (AUC = 0.950) predicted better than single clinical model (AUC = 0.795) or five-mRNA signature model (AUC = 0.823). CONCLUSION: Our present study identified a prognostic prediction model (combined with five-mRNA signature and clinical factors) for TNBC patients receiving immunotherapy, which will benefit future research and clinical therapies.

NMR-Based Metabolomics Analysis Predicts Response to Neoadjuvant Chemotherapy for Triple-Negative Breast Cancer.

Triple-negative breast cancer (TNBC) is the most fatal type of breast cancer (BC). Due to the lack of relevant targeted drug therapy, in addition to surgery, chemotherapy is still the most common treatment option for TNBC. TNBC is heterogeneous, and different patients have an unusual sensitivity to chemotherapy. Only part of the patients will benefit from chemotherapy, so neoadjuvant chemotherapy (NAC) is controversial in the treatment of TNBC. Here, we performed an NMR spectroscopy-based metabolomics study to analyze the relationship between the patients' metabolic phenotypes and chemotherapy sensitivity in the serum samples. Metabolic phenotypes from patients with pathological partial response, pathological complete response, and pathological stable disease (pPR, pCR, and pSD) could be distinguished. Furthermore, we conducted metabolic pathway analysis based on identified significant metabolites and revealed significantly disturbed metabolic pathways closely associated with three groups of TNBC patients. We evaluated the discriminative ability of metabolites related to significantly disturbed metabolic pathways by using the multi-receiver-operating characteristic (ROC) curve analysis. Three significantly disturbed metabolic pathways of glycine, serine, and threonine metabolism, valine, leucine, and isoleucine biosynthesis, and alanine, aspartate, and glutamate metabolism could be used as potential predictive models to distinguish three types of TNBC patients. These results indicate that a metabolic phenotype could be used to predict whether a patient is suitable for NAC. Metabolomics research could provide data in support of metabolic phenotypes for personalized treatment of TNBC.

Density Functional Theory Guide for an Allyl Monomer Polymerization Mechanism: Photoinduced Radical-Mediated [3 + 2] Cyclization.

Polymerization of allyl ether monomers has previously been considered a free-radical addition polymerization mechanism, but it is difficult to achieve because of the high electron density of their double bond. To interpret the mechanism of photopolymerization, we therefore proposed a radical-mediated cyclization (RMC) reaction, which has been validated by results from quantum chemistry calculations and real-time infrared observation. Our RMC reaction begins with the radical abstracting one allylic hydrogen atom from the methylene group of allyl ether to generate an allyl ether radical with a delocalized π3 3 bond. Then, the radical reacts with the double bond of a second allyl ether molecule to form a five-membered cyclopentane-like ring (CP) radical. The CP radical abstracts a hydrogen atom from a third ether molecule. At last, a new allyl ether radical is generated and the next circulation as chain propagation begins. The distortion/interaction model was employed to explore the transient state of reaction, and real-time infrared was chosen to clarify the RMC reaction mechanism initiated by different photoinitiators. These results demonstrated that the RMC mechanism can give new insights into these fundamental processes.

Identification of a 6-gene signature for the survival prediction of breast cancer patients based on integrated multi-omics data analysis.

PURPOSE: To identify a gene signature for the prognosis of breast cancer using high-throughput analysis. METHODS: RNASeq, single nucleotide polymorphism (SNP), copy number variation (CNV) data and clinical follow-up information were downloaded from The Cancer Genome Atlas (TCGA), and randomly divided into training set or verification set. Genes related to breast cancer prognosis and differentially expressed genes (DEGs) with CNV or SNP were screened from training set, then integrated together for feature selection of identify robust biomarkers using RandomForest. Finally, a gene-related prognostic model was established and its performance was verified in TCGA test set, Gene Expression Omnibus (GEO) validation set and breast cancer subtypes. RESULTS: A total of 2287 prognosis-related genes, 131 genes with amplified copy numbers, 724 gens with copy number deletions, and 280 genes with significant mutations screened from Genomic Variants were closely correlated with the development of breast cancer. A total of 120 candidate genes were obtained by integrating genes from Genomic Variants and those related to prognosis, then 6 characteristic genes (CD24, PRRG1, IQSEC3, MRGPRX, RCC2, and CASP8) were top-ranked by RandomForest for feature selection, noticeably, several of these have been previously reported to be associated with the progression of breast cancer. Cox regression analysis was performed to establish a 6-gene signature, which can stratify the risk of samples from training set, test set and external validation set, moreover, the five-year survival AUC of the model in the training set and validation set was both higher than 0.65. Thus, the 6-gene signature developed in the current study could serve as an independent prognostic factor for breast cancer patients. CONCLUSION: This study constructed a 6-gene signature as a novel prognostic marker for predicting the survival of breast cancer patients, providing new diagnostic/prognostic biomarkers and therapeutic targets for breast cancer patients.

The treatment option of progressive disease in breast cancer during neoadjuvant chemotherapy: a single-center experience.

Patients' responses to breast cancer neoadjuvant chemotherapy (NACT) differ because of heterogeneous tumor characteristics. Reports about NACT progression are sporadic. Here we enrolled 1187 patients who received NACT in our cancer center between January 1, 2007, and December 31, 2016. We analyzed the characteristics and treatments of patients with progressive disease (PD) or non-PD or pathological complete response (pCR). In total, 45 (3.8%) patients had PD. PD patients were associated with a significantly worse disease-free survival (DFS) (hazard ratio (HR) = 3.77; 95% CI, 1.77 to 8.00; P =.001) and overall survival (OS) (HR = 3.85; 95% CI, 1.77 to 8.35; P =.001). For the PD patients, 28 (62.2%) patients received mastectomy immediately after PD, and 17 (37.8%) changed to chemotherapy. DFS and OS exhibited no significant differences between these two salvage therapies. After a change to second chemotherapy, 58.8% (10/17) patients had PD or SD. With the exception of tumor size, pretreatment T stage, and histology type, no other significant differences were noted between PD and pCR patients. Our results demonstrated that PD patients were associated with a significantly worse prognosis. Based on these results, we suggest to give the addition of trastuzumab to HER-2 positive patients instead of changing the chemotherapy regimen and proceeding to surgery instead of further chemotherapy once patients have PD during NACT. Given that some similar characteristics exist between PD and pCR patients, more studies to identify novel molecular markers to predict disease response to NACT should be performed.

Impact on survival of estrogen receptor, progesterone receptor and Ki-67 expression discordance pre- and post-neoadjuvant chemotherapy in breast cancer.

PURPOSE: To investigate whether estrogen receptor (ER), progesterone receptor (PR) and Ki-67 expression discordance before and after neoadjuvant chemotherapy (NAC) correlates with prognosis and treatment of breast cancer patients. METHODS: The study cohort included 482 breast cancer patients at the Zhejiang Cancer Hospital from January 1, 2008, to December 31, 2018. Core needle biopsies and excised tissue biopsies pre- and post-NAC were obtained. Immunohistochemistry was used to determine ER, PR and Ki-67 status. The relationship between biomarker discordance before and after NAC and clinicopathological features was compared retrospectively. RESULTS: ER (n = 482), PR (n = 482) and Ki-67 (n = 448) expression was assessed in the same lesion pre- and post-NAC. Discordance in the three markers pre- and post-NAC was observed in 50 (10.4%), 82 (17.0%) and 373 (77.4%) cases, respectively. Positive-to-negative PR expression changes were the most common type of discordance observed. The risk of death in patients with a PR positive-to-negative conversion was 6.58 times greater than for patients with stable PR expression. The risk of death in patients with increased Ki-67 expression following NAC treatment was 2.05 times greater than for patients with stable Ki-67 expression. CONCLUSION: Breast cancer patients showed changes in ER, PR and/or Ki-67 status throughout NAC, and these changes possibly influenced disease-free survival and overall survival. A switch to negative hormone receptor expression with increased Ki-67 expression following NAC could be indicators of a worse prognosis. Biomarker expression investigations following NAC may potentially improve patient management and survival.

An experimental study on the prosthesis produced by inactivated autologous subcutaneous adipose tissue and skin dermal tissue in a mini-pig model.

BACKGROUND: Autologous adipose tissue grafting is a valuable strategy for breast reconstruction in breast cancer patients. However, adipose tissue is absorbed and liquefies easily, and the cosmetic effects do not last. The purpose of this study is to evaluate the cosmetic effects and histopathologic changes of the prostheses produced by inactivated autologous subcutaneous adipose tissue and dermal outer capsule in the mini-pig model. METHODS: This prospective study was conducted in 6 Bama adult female mini-pigs weighing 15.5-20 kg. Autologous subcutaneous adipose tissue and dermis were harvested and made into the different prostheses. Then, the prostheses were implanted into abdominal subcutaneous tissue of the mini-pigs. At the 14th and 30th day after implantation, the skin appearances were observed, and the prostheses were harvested. The histopathologic changes of adipocytes and dermis in the different prostheses were evaluated. RESULTS: In vitro experiments showed that there were no significant changes in the size and histomorphology of autologous adipose tissue and/or dermis in the different prostheses. However, the results of the in vivo experiment found that the prosthesis produced by the inactivated adipose tissue with a dermal outer capsule produced the best cosmetic effect and the least fibrous connective tissue proliferation around the prosthesis. Moreover, the fewest proliferative fibrous connective tissues and infiltrated inflammatory cells were found in the adipocytes wrapped by dermis. The adipocyte morphology was normal. CONCLUSIONS: Results in this animal model indicated that the prosthesis produced by inactivated autologous subcutaneous adipose tissue with a dermal outer capsule may be a promising prosthesis for breast reconstruction. Validation of this new prosthesis requires more experiments to assess the long-term cosmetic effects and histopathologic changes.

Associations between folate metabolism enzyme polymorphisms and breast cancer: A meta-analysis.

We performed this meta-analysis to explore associations between folate metabolism enzyme polymorphisms and breast cancer (BC) in a larger pooled population. Systematic literature research was performed to identify eligible studies for pooled analyses. Totally 92 genetic association studies were included for analyses. The pooled analyses revealed significant findings for MTRR rs1801394 polymorphism in South Asians, for MTR rs1805087 polymorphism in Caucasians and East Asians, and for MTHFR rs1801133 polymorphism in East Asians. In conclusion, the present meta-analysis indicated that MTRR rs1801394, MTR rs1805087, and MTHFR rs1801133 polymorphisms could be used to identify individuals at high risk of developing BC.

Prognosis and endocrine therapy selection for patients with low hormone receptor-positive breast cancer following neoadjuvant chemotherapy: A retrospective study of 570 patients in China.

The 2010 American Society of Clinical Oncology guidelines have reduced the immunohistochemistry cut-off value for determining estrogen receptor b positivity from 10 to 1% of stained cells in breast cancer. In clinical practice, low-hormone receptor positive (low HR+) tumors are classified in the luminal subtype, although they exhibit aggressive features and poor prognosis. Information regarding the prognosis of patients with breast cancer following treatment with optimal endocrine therapy and neoadjuvant chemotherapy (NAC) is currently lacking. In the present study, the differences in clinical characteristics and survival of patients with breast cancer were compared among those with low and high HR+ breast cancer who received NAC. Furthermore, the effects of different types of endocrine therapies on the prognosis of patients with breast cancer were compared. The study population comprised patients with primary breast cancer who were treated at the Zhejiang Cancer Hospital between January, 2007 and December, 2017. Patients were divided into three groups based on the results of immunohistochemistry: HR+ (positive staining >10%), HR- (positive staining <1%) and low HR+ (positive staining 1-10%). The low HR+ group was further divided into three subgroups according to the different endocrine therapies administered: Tamoxifen, aromatase inhibitor or no treatment. Among the 570 patients included in the present study, 60 (10.53%) patients had low HR+ tumors. With a median follow-up of 48.98 months, patients with low HR+ tumors had reduced survival rates compared with those with HR+ tumors. Furthermore, the pathologic complete response rate (pCR) of patients with low HR+ was comprised between pCR from patients with HR+ and pCR from patients with HR- following NAC treatment. In addition, no significant difference in the overall prognosis was observed among patients with low HR+ following treatment with different endocrine therapies. Subsequently, patients in the low HR+ group were more likely to benefit from NAC compared with patients in the HR+ group. Intensive endocrine therapy may therefore improve the prognosis of patients with breast cancer and low HR+; however, further investigation is required.

A Nomogram to Predict the Pathologic Complete Response of Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer Based on Simple Laboratory Indicators.

BACKGROUND: Triple-negative breast cancer (TNBC) patients who achieve a pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) have better prognoses. OBJECTIVE: This study aimed to develop an intuitive nomogram based on simple laboratory indexes to predict the pCR of standard NAC in TNBC patients. METHODS: A total of 80 TNBC patients who received eight cycles of thrice-weekly standard NAC (anthracycline and cyclophosphamide followed by taxane) and subsequently underwent surgery in Zhejiang Cancer Hospital were retrospectively enrolled, and data on their pretreatment clinical features and multiple simple laboratory indexes were collected. The optimal cut-off values of the laboratory indexes were determined by the Youden index using receiver operating characteristic (ROC) curve analyses. Forward stepwise logistic regression (likelihood ratio) analysis was applied to identify predictive factors for a pCR of NAC. A nomogram was then developed according to the logistic model, and internally validated using the bootstrap resampling method. RESULTS: pCR was achieved in 39 (48.8%) patients after NAC. Multivariate analysis identified four independent indicators: clinical tumor stage, lymphocyte to monocyte ratio, fibrinogen level, and D-dimer level. The nomogram established based on these factors showed its discriminatory ability, with an area under the curve (AUC) of 0.803 (95% confidence interval 0.706-0.899) and a bias-corrected AUC of 0.771. The calibration curve and Hosmer-Lemeshow test showed that the predictive ability of the nomogram was a good fit to actual observation. CONCLUSIONS: The nomogram proposed in the present study exhibited a sufficient discriminatory ability for predicting pCR of NAC in TNBC patients.

Discussion of relationships among changes of pathological indicators, postoperative lymphedema of the upper limb, and prognosis of patients with breast cancer.

Objectives: The present study aimed to discuss the impacts of changes to pathological indicators of patients with breast cancer upon the incidence of postoperative lymphedema of the upper limb and prognosis. Methods: 2597 female patients with breast cancer who received surgical treatment in our hospital were enrolled in the present study to evaluate the incidence of these patients' postoperative lymphedema of the upper limb. Results: For patients with breast cancer, the incidence of postoperative lymphedema of the upper limb was related to T stage of breast cancer, lymph node metastasis, the number of metastatic lymph nodes, pTNM stage, and pathological types of breast cancer (P<0.05). Lymph node metastasis was an independent risk factor of lymphedema of the upper limb; lymph node metastasis and Ki-67 expression level were independent factors that impacted pathologic complete response rate of neoadjuvant chemotherapies. Patients' mortality was correlated to pathological and molecular subtypes, Ki-67 expression level, ER expression level, PR expression level, and pTNM stage (P<0.05), among which the pTNM stage, Ki-67 expression level, and PR expression level were independent factors that affected prognosis of patients with breast cancer. Conclusion: Patients with lymph node metastasis were more prone to lymphedema of the upper limb, while it was easier for those whose Ki-67 expression level was high and who were not subject to lymph node metastasis to get a pathological complete response after receiving neoadjuvant chemotherapies. The prognosis was poorer among patients whose progesterone receptors were negative and Ki-67 expression levels were high at the advanced pTNM stage.

The association of young age with local recurrence in women with early-stage breast cancer after breast-conserving therapy: a meta-analysis.

The aim of this meta-analysis is to determine the relationship between young age and local recurrence in patients with early-stage breast cancer after breast-conserving therapy. Eligible studies were retrieved from various electronic databases. Among the 19 studies included, 14 studies were analyzed for 5-year local recurrence rate and 8 studies for 10-year local recurrence rate using random effects models. Both results showed that young patients were at higher risk of local recurrence compared to old patients (5-year: RR = 2.64, 95% CI (1.94-3.60); 10-year: RR = 2.37, 95% CI (1.57-3.58)). Harbord's modified test showed the presence of publication bias in both 5- and 10-year local recurrence rates (P = 0.019 and P = 0.01, respectively). While the Trim and Fill analysis showed that the presence of publication bias did not affect the overall outcome of the 5-year local recurrence rate (RR = 2.21, 95% CI (1.62, 3.02)), it significantly affected the effect size of the 10-year local recurrence rate (RR = 1.47, 95% CI (0.96, 2.27)). Young age is a significant risk factor for local recurrence developed within 5 years of breast-conserving therapy in patients with early-stage breast cancer. Further high-quality studies are needed to elucidate the relationship between young age and the risk of local recurrence developed within 10 years.

Long non-coding RNAs may serve as biomarkers in breast cancer combined with primary lung cancer.

Long non-coding RNAs (lncRNAs) have been shown to play important regulatory role in certain type of cancers biology, including breast and lung cancers. However, the lncRNA expression in breast cancer combined with primary lung cancer remains unknown. In this study, databases of the Cancer Genome Atlas (TCGA) and the lncRNA profiler of contained candidate 192 lncRNAs were utilized. 11 lncRNAs were differentially expressed in breast cancer, 9 candidate lncRNAs were differentially expressed in lung cancer. In order to find the aberrant expression of lncRNAs in breast cancer combined with primary lung cancer, seven samples of primary breast cancer and lung cancer were studied for the expression of selected lncRNAs. The results showed that SNHG6 and NEAT1 were reversely expressed in breast cancer combined with primary lung cancer compared with primary breast or lung cancer. In addition, a significant correlation of lncRNAs was found in the patients whose age was above 56 in breast cancer. What's more, PVT1 expression was negatively correlated with the pathological stage, and the level of ER, PR, HER2, p53 in breast cancer. Furthermore, lncRNA expression did not have significant relationship with the 5-year survival of patients with breast cancer combined with primary lung cancer. The findings revealed that PVT1, SNHG6, NEAT1 may serve as a prognostic marker for breast cancer combined with primary lung cancer. Therefore, these lncRNAs are potential molecular indicators in the diagnosis and prognosis of cancer in the future.

Breast carcinoma associated with prolactinoma: A case report.

We report a 28-year-old woman who presented with a 6-year history of milk-like discharge from both of her nipples and was diagnosed with prolactinoma based on computed tomography (CT) findings and serum prolactin level. Further breast examination revealed a mass located in the upper outer region of the left breast. She underwent subtotal pituitary tumor resection. Thereafter, modified radical mastectomy was performed for left breast cancer. Twelve years after treatment, prolactinoma recurrence was detected, and bromocriptine therapy was administered. No recurrence of breast cancer was discovered. Based on this case report, we stress the importance of prolactin levels due to their possible biologic effects on breast cancer induction or growth.

Glutathione S-transferase M1 Polymorphism and Breast Cancer Risk: a Meta-Analysis in the Chinese Population.

BACKGROUND: Published data on the association between present/null polymorphism of glutathione S-transferase M1 (GSTM1) and breast cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis in the Chinese population was performed. METHODS: PubMed, Springer Link, Ovid, Chinese Wanfang Data Knowledge Service Platform, Chinese National Knowledge Infrastructure (CNKI), and Chinese Biology Medicine (CBM) were searched. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association between the GSTM1 present/ null polymorphism and breast cancer risk. RESULTS: A total of 17 studies including 5323 breast cancer cases and 7196 controls were involved in this meta-analysis. Overall, a significant association (OR = 1.28, 95%CI: 1.09 - 1.51) was found between the null GSTM1 and breast cancer risk when all studies in Chinese population were pooled into the meta-analysis. In subgroup analyses stratified by geographic areas and source of controls, the same results were observed in mainland China (OR = 1.42, 95% CI = 1.12 - 1.81) and hospital-based studies (OR = 1.55, 95% CI = 1.20 - 2.00). CONCLUSIONS: This meta-analysis suggests that the GSTM1 null genotype is a low-penetrant risk factor for developing breast cancer in the Chinese population.

[Treatment of Chemotherapy Related Leukocytopenia by Oral Administration of Multiple Leucogenic Drugs Combined with G-CSF: an Experimental Study].

OBJECTIVE: To evaluate efficacies of three commonly used oral drugs including Berbamine Hydrochloride Tablet (B), Qijiao Shengbai Capsule (Q), and Leucogen Tablet (L) (by single drug, two drugs or three drugs) combined with granulocyte colony-stimulating factor (G-CSF) for treat ment of chemotherapy related leukocytopenia in mice. METHODS: Totally 156 Kunming male mice were divided into the normal control group (A, n=24), the model group (B, n=24), the G-CSF group (C, n =24), the G-CSF+Q group (D, n=12), G-CSF+ B (E, n=12), the G-CSF+L group (F, n=12), the G-CSF + Q + B group (G, n=12), the G-CSF + Q + L group (H, n=12), the G-CSF + L + B group (I, n=12), and the G-CSF + L + Q + B (J, n=12). Mouse models of chemotherapy related leukocytopenia were established by intraperitoneal injection of cyclophosphamide (CTX). A G-CSF group was set up as a positive control. Mice were treated by a single oral drug, a single oral drug combined with G-CSF, and two or three drugs combined with G-CSF respectively, and the death rate calculated. Hemocytes [such as white blood cells (WBC) and its classification, red blood cells (RBC), platelet (PLT), hemoglobin (Hb)] were calculated by hematology analyzer. Mice were anatomized and important organs weighed. Organ indices were calculated. RESULTS: There was no statistical difference in the mortality rate among all groups (P > 0.05). Compared with Group B, WBC was elevated in all other groups (P < 0.01). WBC and PLT were elevated most in Group J, Hb and RBC were also increased at the same time (P < 0.05, P < 0. 01). Compared with Group B, RBC increased in Group E, F, G, I, and J (P < 0.01); Hb obviously increased in Group C, E, F, H, I, and J (P<0.01). Compared with Group B and D, the promotion of erythroid hematopoiesis by G-CSF could be elevated in any group contained drug B and L (P < 0.05, P < 0.01). The spleen index of model mice could be significantly improved in Group C, D, and G (P < 0.01). The thymus index of model mice could be significantly improved in Group H (P < 0.05). CONCLUSIONS: The best scheme to treat mice with chemotherapy related leukopenia or decreased three blood series was to administrate three commonly oral drugs combined with G-CSF. Authors speculated that G-CSF and Q might have a certain effect on CTX induced immune inhibition.

Serum biomarker 3144 m/z for prognostic detection in Chinese postmenopausal breast cancer patients.

CONTEXT: Breast cancer becomes more prevalent with advancing age. The increased risk of breast cancer needs to be considered when choosing a treatment plan and a kind of detection method for the postmenopausal woman. Better breast cancer prognostication may improve selection of patients for adjuvant therapy. AIMS: The aim of this study is to investigate the role of serum protein peak 3144 m/z in postmenopausal breast cancer patients, whether if it could be used as a potential prognostic tool. SETTINGS AND DESIGN: Two hundred and two postmenopausal breast cancer patients were involved in this retrospective study at Zhejiang Cancer Hospital. SUBJECTS AND METHODS: Serum level of protein peak 3144 m/z was assessed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. STATISTICAL ANALYSIS USED: Prognostic factors were compared across subgroups of patients depending on the protein peak 3144 m/z levels by Chi-square test. The log-rank test was used to compare survival curves, and Cox proportional hazards regression analysis was performed to identify prognostic factors. RESULTS: The percentage of cases with higher 3144 m/z protein peak was 32.7% (66/202) in postmenopausal breast cancer patients. The serum protein peak 3144 m/z was positively related to lymph node metastasis. Patients with higher protein peak 3144 m/z had significantly poorer overall survival compared with patients with lower serum protein peak 3144 m/z (P = 0.0053). Multivariate regression analysis also revealed that protein peak 3144 m/z was an independent prognostic factor in postmenopausal breast cancer patients (borderline, P = 0.064). CONCLUSIONS: The protein peak 3144 m/z was a potential prognostic factor, and it could be used as a prognostic monitoring tool in postmenopausal breast cancer patients.