Alberto Ocaña

Bio: Alberto Ocaña is an academic researcher from Hospital Clínico San Carlos. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 45, co-authored 237 publications receiving 9460 citations. Previous affiliations of Alberto Ocaña include Yale University & University of Alabama at Birmingham.

Prognostic Role of Neutrophil-to-Lymphocyte Ratio in Solid Tumors: A Systematic Review and Meta-Analysis

Abstract: BACKGROUND: Inflammation may play an important role in cancer progression, and a high neutrophil-to-lymphocyte ratio (NLR) has been reported to be a poor prognostic indicator in several malignancies. Here we quantify the prognostic impact of this biomarker and assess its consistency in solid tumors. METHODS: A systematic review of electronic databases was conducted to identify publications exploring the association of blood NLR and clinical outcome in solid tumors. Overall survival (OS) was the primary outcome, and cancer-specific survival (CSS), progression-free survival (PFS), and disease-free survival (DFS) were secondary outcomes. Data from studies reporting a hazard ratio and 95% confidence interval (CI) or a P value were pooled in a meta-analysis. Pooled hazard ratios were computed and weighted using generic inverse-variance and random-effect modeling. All statistical tests were two-sided. RESULTS: One hundred studies comprising 40559 patients were included in the analysis, 57 of them published in 2012 or later. Median cutoff for NLR was 4. Overall, NLR greater than the cutoff was associated with a hazard ratio for OS of 1.81 (95% CI = 1.67 to 1.97; P < .001), an effect observed in all disease subgroups, sites, and stages. Hazard ratios for NLR greater than the cutoff for CSS, PFS, and DFS were 1.61, 1.63, and 2.27, respectively (all P < .001). CONCLUSIONS: A high NLR is associated with an adverse OS in many solid tumors. The NLR is a readily available and inexpensive biomarker, and its addition to established prognostic scores for clinical decision making warrants further investigation.

Expression of p95HER2, a Truncated Form of the HER2 Receptor, and Response to Anti-HER2 Therapies in Breast Cancer

Abstract: Background Women with HER2-overexpressing breast cancers have poor prognosis, and many are resistant to the HER2 monoclonal antibody trastuzumab. A subgroup of HER2-overexpressing tumors also express p95HER2, an amino terminally truncated receptor that has kinase activity. Because p95HER2 cannot bind to trastuzumab but should be responsive to the HER2 tyrosine kinase inhibitor lapatinib, we compared the sensitivity of tumors expressing p95HER2 and tumors expressing the full-length HER2 receptor to these agents. Methods MCF-7 and T47D breast cancer cells were stably transfected with either full-length HER2 or p95HER2. We studied the effects of trastuzumab and lapatinib on receptor signaling, cell proliferation, and the growth of xenograft tumors. A paraffin-based immunofluorescence assay was developed to study the association between p95HER2 expression and sensitivity to trastuzumab in patients with advanced breast cancer. All statistical tests were two-sided. Results Treatment of p95HER2-expressing cells with lapatinib inhibited p95HER2 phosphorylation, reduced downstream phosphorylation of Akt and mitogen-activated protein kinases, inhibited cell growth (MCF-7p95HER2 clones, lapatinib versus control, mean growth inhibition = 57.6% versus 22.6%, difference = 35%, 95% confidence interval [Cl] = 22.5% to 47.3%; P<.001; T47Dp95HER2 clones, lapatinib versus control, mean growth inhibition = 36.8% versus 20%, difference = 16.8%, 95% Cl = 11.3% to 22.3%, P<.001), and inhibited growth of MCF-7p95HER2 xenograft tumors (lapatinib versus control, mean = 288.8 versus 435 mm 3 , difference = 146.2 mm 3 , Cl = 73.8 to 218.5 mm 3 , P =.002). By contrast, treatment with trastuzumab had no effect on any of these parameters. Of 46 patients with metastatic breast cancer who were treated with trastuzumab, only one of nine patients (11.1%) expressing p95HER2 responded to trastuzumab (with a partial response), whereas 19 of the 37 patients (51.4%) with tumors expressing full-length HER2 achieved either a complete (five patients) or a partial (14 patients) response (P=.029). Conclusions Breast tumors that express p95HER2 are resistant to trastuzumab and may require alternative or additional anti-HER2-targeting strategies.

Toxicity of Adjuvant Endocrine Therapy in Postmenopausal Breast Cancer Patients: A Systematic Review and Meta-analysis

Abstract: Results Seven trials enrolling 30 023 patients met the inclusion criteria. Longer duration of aromatase inhibitor use was associated with increased odds of developing cardiovascular disease (OR = 1.26, 95% CI = 1.10 to 1.43, P < .001; number needed to harm = 132) and bone fractures (OR = 1.47, 95% CI = 1.34 to 1.61, P < .001; number needed to harm = 46), but a decreased odds of venous thrombosis (OR = 0.55, 95% CI = 0.46 to 0.64, P < .001; number needed to harm = 79) and endometrial carcinoma (OR = 0.34, 95% CI = 0.22 to 0.53, P < .001; number needed to harm = 258). Five years of aromatase inhibitors was associated with a non-statistically significant increased odds of death without recurrence compared with 5 years of tamoxifen alone or tamoxifen for 2–3 years followed by an aromatase inhibitor for 2–3 years (OR = 1.11, 95% CI = 0.98 to 1.26, P = .09). Conclusions The cumulative toxicity of aromatase inhibitors when used as up-front treatment may explain the lack of overall survival benefit despite improvements in disease-free survival. Switching from tamoxifen to aromatase inhibitors reduces this toxicity and is likely the best balance between efficacy and toxicity.

Prognostic Role of Platelet to Lymphocyte Ratio in Solid Tumors: A Systematic Review and Meta-Analysis

Abstract: Background: Inflammation influences cancer development and progression. An elevated platelet to lymphocyte ratio (PLR), a marker of inflammation, has been linked to poor prognosis in several malignancies. Here, we quantify the prognostic impact of this biomarker. Methods: A systematic review of databases was conducted to identify publications exploring the association of blood PLR and overall survival (OS) in solid tumors. Data were pooled in a meta-analysis. Pooled HRs for OS by disease group and by PLR cutoff groups were computed and weighted using generic inverse-variance and random-effect modeling. Results: Twenty studies comprising 12,754 patients were assessed. Cutoffs for PLR defining risk groups ranged from 150 to 300 and were dichotomous (12 studies; group 1) or split into three groups ( 300, 8 studies; group 2). Higher PLR was associated with significantly worse OS in group 1 [HR = 1.87; 95% confidence interval (CI, 1.49–2.34); P < 0.001] and with a nonsignificant association in group 2 (HR per higher category = 1.21; 95%CI, 0.97–1.50; P = 0.10). The size of effect of PLR on OS was greater for metastatic disease (HR[group 1] = 2.0; 95% CI, 1.6–2.7; HR[group 2] = 1.6; 95% CI, 1.1–2.4) than for early-stage disease (HR[group 1] = 1.5; 95% CI, 1.0–2.2; HR[group 2] = 1.0; 95% CI, 0.8–1.3). A significant association was observed for colorectal, hepatocellular, gastroesophageal, ovarian, and pancreatic carcinoma in group 1 and for colorectal cancers in group 2. Conclusion: A high PLR is associated with worse OS in various solid tumors. Further research of its regulation and relevance in daily practice is warranted. Impact: PLR is a readily available and inexpensive biomarker with independent prognostic value in solid tumors. Cancer Epidemiol Biomarkers Prev; 23(7); 1204–12. ©2014 AACR . This article is featured in Highlights of This Issue, [p. 1137][1] [1]: /lookup/volpage/23/1137?iss=7

Patterns of Somatic Mutation in Human Cancer Genomes

Abstract: AACR Centennial Conference: Translational Cancer Medicine-- Nov 4-8, 2007; Singapore PL02-05 All cancers are due to abnormalities in DNA. The availability of the human genome sequence has led to the proposal that resequencing of cancer genomes will reveal the full complement of somatic mutations and hence all the cancer genes. To explore the nature of the information that will be derived from cancer genome sequencing we have sequenced the coding exons of the family of 518 protein kinases, ~1.3Mb DNA per cancer sample, in 210 cancers of diverse histological types. Despite the screen being directed toward the coding regions of a gene family that has previously been strongly implicated in oncogenesis, the results indicate that the majority of somatic mutations detected are “passengers”. There is considerable variation in the number and pattern of these mutations between individual cancers, indicating substantial diversity of processes of molecular evolution between cancers. The imprints of exogenous mutagenic exposures, mutagenic treatment regimes and DNA repair defects can all be seen in the distinctive mutational signatures of individual cancers. This systematic mutation screen and others have previously yielded a number of cancer genes that are frequently mutated in one or more cancer types and which are now anticancer drug targets (for example BRAF , PIK3CA , and EGFR ). However, detailed analyses of the data from our screen additionally suggest that there exist a large number of additional “driver” mutations which are distributed across a substantial number of genes. It therefore appears that cells may be able to utilise mutations in a large repertoire of potential cancer genes to acquire the neoplastic phenotype. However, many of these genes are employed only infrequently. These findings may have implications for future anticancer drug development.

TGFβ signalling in context.

Abstract: The basic elements of the transforming growth factor-β (TGFβ) pathway were revealed more than a decade ago. Since then, the concept of how the TGFβ signal travels from the membrane to the nucleus has been enriched with additional findings, and its multifunctional nature and medical relevance have relentlessly come to light. However, an old mystery has endured: how does the context determine the cellular response to TGFβ? Solving this question is key to understanding TGFβ biology and its many malfunctions. Recent progress is pointing at answers.