Evaluation of biological pathways involved in chemotherapy response in breast cancer

INTRODUCTION: Our goal was to examine the association between biological pathways and response to chemotherapy in estrogen receptor-positive (ER+) and ER-negative (ER-) breast tumors separately. METHODS: Gene set enrichment analysis including 852 predefined gene sets was applied to gene expression data from 51 ER- and 82 ER+ breast tumors that were all treated with a preoperative paclitaxel, 5-fluoruracil, doxorubicin, and cyclophosphamide chemotherapy. RESULTS: Twenty-seven (53%) ER- and 7 (9%) ER+ patients had pathologic complete response (pCR) to therapy. Among the ER- tumors, a proliferation gene signature (false discovery rate [FDR] q = 0.1), the genomic grade index (FDR q = 0.044), and the E2F3 pathway signature (FDR q = 0.22, P = 0.07) were enriched in the pCR group. Among the ER+ tumors, the proliferation signature (FDR q = 0.001) and the genomic grade index (FDR q = 0.015) were also significantly enriched in cases with pCR. Ki67 expression, as single gene marker of proliferation, did not provide the same information as the entire proliferation signature. An ER-associated gene set (FDR q = 0.03) and a mutant p53 gene signature (FDR q = 0.0019) were enriched in ER+ tumors with residual cancer. CONCLUSION: Proliferation- and genomic grade-related gene signatures are associated with chemotherapy sensitivity in both ER- and ER+ breast tumors. Genes involved in the E2F3 pathway are associated with chemotherapy sensitivity among ER- tumors. The mutant p53 signature and expression of ER-related genes were associated with lower sensitivity to chemotherapy in ER+ breast tumors only.Journal ArticleResearch Support, N.I.H. ExtramuralResearch Support, Non-U.S. Gov'tSCOPUS: ar.jinfo:eu-repo/semantics/publishe

The effects of transurethral resection and cystoprostatectomy on dissemination of epithelial cells in the circulation of patients with bladder cancer

This study was undertaken to evaluate the risk of haematogenous dissemination of epithelial cells induced by endoscopic resection and/or cystoprostatectomy for transitional cell carcinoma of the bladder. Thirty-three patients were studied. Thirty-one had different stages and grades of bladder cancer and two patients had benign bladder conditions. Twenty-five cancer patients required transurethral resection of their bladder tumour. Of those, 20 had superficial disease (pTaG1–G2: n = 19; pT1G2: n = 1) and five had muscle invasive tumours (pT2G3: n = 2; pT3aG3: n = 1; pT4G3: n = 2). Five patients underwent radical cystoprostatectomy for muscle invasive cancers (pT2G3: n = 3; pT3bG3: n = 1; pT4G3: n = 1) and one man received chemotherapy for metastatic disease. Venous blood (10 ml) was obtained from the antecubital fossa in each patient, before and 1–2 h after completion of surgery, and prior to treatment in the metastatic patient. An indirect immunocytochemical technique was used to detect circulating epithelial cells after centrifugation on Ficoll gradient and fixation of mononuclear cells on slides, using a monoclonal antibody directed against three cytokeratins: CK8, CK18 and CK19. Circulating epithelial cells were detected only in the patient with metastatic disease. None of the other patients had evidence of epithelial circulating cells before or after surgery. The results suggest that irrespective of disease stage and grade, neither endoscopic nor open bladder surgery leads to detectable dissemination of urothelial cells in the peripheral circulation. These procedures are therefore unlikely to increase the risk of progression and metastasis in transitional cell carcinoma of the bladder. © 1999 Cancer Research Campaig

Updates on p53: modulation of p53 degradation as a therapeutic approach

The p53 pathway is aberrant in most human tumours with over 50% expressing mutant p53 proteins. The pathway is critically controlled by protein degradation. Here, we discuss the latest developments in the search for small molecules that can modulate p53 pathway protein stability and restore p53 activity for cancer therapy

SPAG5 as a prognostic biomarker and chemotherapy sensitivity predictor in breast cancer: a retrospective, integrated genomic, transcriptomic, and protein analysis

Background: Although the use of proliferation markers/profiles has been recommended when choosing the appropriate systemic-treatment for breast cancer (BC), the best molecular-marker/test that should be used needs to be identified. Methods: To identify factors that drive proliferation and its associated features in BC an artificial neural network (ANN) based integrative data-mining methodology was applied to three cohorts [(Nottingham-discovery (ND), Uppsala and METABRIC (Molecular Taxonomy of Breast Cancer International Consortium)]. The most prominent genes in the resulting interactome-map were then identified. Given that SPAG5 was associated with many features of proliferation, featured prominently in the interactome-map and has a fundamental role in mitotic-progression,, we hypothesized that it could be a better indicator of proliferation activity. (BC). Subsequently to test if it could provide a more accurate guide for the delivery of systemic therapies in BC, we investigated the clinico-pathological utility of SPAG5: gene copy number aberrations (CNAs); mRNA and protein expression, in over 10,000 BCs. Integrated analysis of SPAG5-gene CNAs, transcript and protein expression was conducted in the ND cohort (n=171) and validated in the METABRIC cohort (n=1980). In addition, the associations of SPAG5 CNAs, transcript and/or protein with BC specific survival (BCSS), disease free survival (DFS) and/or distant relapse free survival (DRFS) were analysed in multiple cohorts including Uppsala (n=249), METABRIC, three-untreated lymph node (LN) negative cohorts (n=684), a combined multicentre clinical data set (n=5439), Nottingham historical early-stage-primary BC (Nottingham-HES-BC; n=1650), Nottingham oestrogen receptor (ER) negative BC (n=697), Nottingham anthracycline-Neoadjuvant-chemotherapy (Nottingham-AC-Neo-ACT; n=200), and MD Anderson Cancer Centre Taxane/anthracycline (MDACC-T/AC-Neo-ACT; n=508) cohorts. The association of SPAG5 transcript and protein expression with pathological response rate (pCR) were also tested in [MDACC-T/AC-Neo-ACT (n=508) and the phase II trial NCT00455533; n=253)] and [Nottingham-AC-Neo-ACT (n=200)] cohorts; respectively. Findings: SPAG5 gene gain/amplification at the Ch17q11·2 locus was found in 10.4% of BC (206/1980 (; METABRIC) and was reported in 19·4% of PAM50-HER2 (46/237) and 17·8% of PAM50-LumB (87/488). SPAG5-CNA gain/amplification and high SPAG5-transcript and SPAG5-protein were associated with increased risk of death from BC [Uppsala; (HR (CI 95%): 1·50 (1·18-1·92); p=0·00010, METABRIC; (HR (CI 95%): 1·68 (1·40-2·01) p<0·0001), and Nottingham-HSE-BC; (HR (CI 95%): 1·68 (1·32-2·12), p<0·0001); respectively]. Multivariable Cox regression models, including other validated-prognostic factors, (Uppsala: age, size, LN-stage, genomic grade index (GGI), ER, TP53 mutation and MKi67; METABRIC: age, size, LN-stage, histologic-grade, ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), hormone-therapy, chemotherapy, interaction term of SPAG5 and both chemotherapyy and hormonotherapy; Desmedt-untreated LN- cohort: ER, Nottingham prognostic index (NPI), 76-gene prognostic signature (Veridex) and Adjuvant-Online (AOL); Nottingham-HES-BC: menopausal status, size, LN- stage, histologic-grade, ER, PR, HER2, ki67, hormone-therapy, chemotherapy, interaction term of SPAG5 and both chemotherapy[y and hormonotherapy), showed that high SPAG5-transcript and high SPAG5-protein were associated with shorter BCSS [Uppsala: (HR (CI 95%): 1·62 (1·03-2·53) p=0·036); METABRIC: (HR (CI 95%): 1·27 (1·02-1·58) p=0·034); Desmedt-untreated LN- cohort: (HR (CI 95%): 2·34 (1·24-4·42) p=0·0090), and Nottingham-HES-BC (HR (CI 95%): 1·73 (1·23-2·46) p=0·0020); respectively]. In ER-negative-BC with high SPAG5-protein, administration of anthracycline-adjuvant-chemotherapy had reduced the risk of death by 60% compared to chemotherapy-naive (HR (95% CI): 0·37 (0·20-0·60); p=0·0010). A multivariable Cox regression analysis, which included other validated prognostic factors for chemotherapy (e.g., menopausal status, size, lymph node stage, histologic grade, ER, PR, HER2, Bcl2, chemotherapy, interaction term of SPAG5 and both chemotherapy[y), revealed that SPAG5-transcript+ was independently associated with decreased risk of DRFS after receiving Taxane/anthracycline-Neo-ACT [MDACC-T/AC-Neo-ACT: (HR (CI 95%): 0·68 (0·48-0·97); p=0·0070)]. In multivariable logistic regression analysis, both SPAG5-transcript+ and SPAG5-protein+ and were independent predictors for higher pCR after combination-cytotoxic chemotherapy [MDACC-T/AC-Neo-ACT: (OR (95% CI) 1·71 (1·07-2·74); p=0·024), and Nottingham-AC-Neo-AC: (OR (95% CI): 8·75 (2·42-31); p=0·0010); respectively]. Interpretation: SPAG5 is a novel amplified gene on Ch17q11.2 in PAM50-LumB and PAM-HER2 BC, and its transcript and protein products are independent prognostic and predictive biomarkers, with potential clinical utility as a biomarker for combination cytotoxic chemotherapy sensitivity, especially in ER- BC

Oroxylin A promotes PTEN-mediated negative regulation of MDM2 transcription via SIRT3-mediated deacetylation to stabilize p53 and inhibit glycolysis in wt-p53 cancer cells

Introduction p53 plays important roles in regulating the metabolic reprogramming of cancer, such as aerobic glycolysis. Oroxylin A is a natural active flavonoid with strong anticancer effects both in vitro and in vivo. Methods wt-p53 (MCF-7 and HCT116 cells) cancer cells and p53-null H1299 cancer cells were used. The glucose uptake and lactate production were analyzed using Lactic Acid production Detection kit and the Amplex Red Glucose Assay Kit. Then, the protein levels and RNA levels of p53, mouse double minute 2 (MDM2), and p53-targeted glycolytic enzymes were quantified using Western blotting and quantitative polymerase chain reaction (PCR), respectively. Immunoprecipitation were performed to assess the binding between p53, MDM2, and sirtuin-3 (SIRT3), and the deacetylation of phosphatase and tensin homolog (PTEN). Reporter assays were performed to assess the transcriptional activity of PTEN. In vivo, effects of oroxylin A was investigated in nude mice xenograft tumor-inoculated MCF-7 or HCT116 cells. Results Here, we analyzed the underlying mechanisms that oroxylin A regulated p53 level and glycolytic metabolism in wt-p53 cancer cells, and found that oroxylin A inhibited glycolysis through upregulating p53 level. Oroxylin A did not directly affect the transcription of wt-p53, but suppressed the MDM2-mediated degradation of p53 via downregulating MDM2 transcription in wt-p53 cancer cells. In further studies, we found that oroxylin A induced a reduction in MDM2 transcription by promoting the lipid phosphatase activity of phosphatase and tensin homolog, which was upregulated via sirtuin3-mediated deacetylation. In vivo, oroxylin A inhibited the tumor growth of nude mice-inoculated MCF-7 or HCT116 cells. The expression of MDM2 protein in tumor tissue was downregulated by oroxylin A as well. Conclusions These results provide a p53-independent mechanism of MDM2 transcription and reveal the potential of oroxylin A on glycolytic regulation in both wt-p53 and mut-p53 cancer cells. The studies have important implications for the investigation on anticancer effects of oroxylin A, and provide the academic basis for the clinical trial of oroxylin A in cancer patients

Should We Abandon the t-Test in the Analysis of Gene Expression Microarray Data: A Comparison of Variance Modeling Strategies

High-throughput post-genomic studies are now routinely and promisingly investigated in biological and biomedical research. The main statistical approach to select genes differentially expressed between two groups is to apply a t-test, which is subject of criticism in the literature. Numerous alternatives have been developed based on different and innovative variance modeling strategies. However, a critical issue is that selecting a different test usually leads to a different gene list. In this context and given the current tendency to apply the t-test, identifying the most efficient approach in practice remains crucial. To provide elements to answer, we conduct a comparison of eight tests representative of variance modeling strategies in gene expression data: Welch's t-test, ANOVA [1], Wilcoxon's test, SAM [2], RVM [3], limma [4], VarMixt [5] and SMVar [6]. Our comparison process relies on four steps (gene list analysis, simulations, spike-in data and re-sampling) to formulate comprehensive and robust conclusions about test performance, in terms of statistical power, false-positive rate, execution time and ease of use. Our results raise concerns about the ability of some methods to control the expected number of false positives at a desirable level. Besides, two tests (limma and VarMixt) show significant improvement compared to the t-test, in particular to deal with small sample sizes. In addition limma presents several practical advantages, so we advocate its application to analyze gene expression data

Molecular differences between ductal carcinoma in situ and adjacent invasive breast carcinoma: a multiplex ligation-dependent probe amplification study

Ductal carcinoma in situ (DCIS) accounts for approximately 20% of mammographically detected breast cancers. Although DCIS is generally highly curable, some women with DCIS will develop life-threatening invasive breast cancer, but the determinants of progression to infiltrating ductal cancer (IDC) are largely unknown. In the current study, we used multiplex ligation-dependent probe amplification (MLPA), a multiplex PCR-based test, to compare copy numbers of 21 breast cancer related genes between laser-microdissected DCIS and adjacent IDC lesions in 39 patients. Genes included in this study were ESR1, EGFR, FGFR1, ADAM9, IKBKB, PRDM14, MTDH, MYC, CCND1, EMSY, CDH1, TRAF4, CPD, MED1, HER2, CDC6, TOP2A, MAPT, BIRC5, CCNE1 and AURKA