21 research outputs found

    A retrospective, multicenter study of the efficacy of lapatinib plus trastuzumab in HER2-positive metastatic breast cancer patients previously treated with trastuzumab, lapatinib, or both: the Trastyvere study

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    [Purpose]: To evaluate the efficacy and safety of lapatinib (L) and trastuzumab (T) combination in HER2-positive metastatic breast cancer (MBC) patients previously treated with T and/or L.[Materials and methods]: We conducted a retrospective, post-authorized, multicenter study including patients with HER2-positive MBC or locally advanced breast cancer (ABC) treated with the combination of L–T. Concomitant endocrine therapy, as well as brain metastasis and/or prior exposure to L, were allowed.[Results]: One hundred and fifteen patients from 14 institutions were included. The median age was 59.8 years. The median number of prior T regimens in the advanced setting was 3 and 73 patients had received a prior L regimen. The clinical benefit rate (CBR) was 34.8% (95% CI 26.1–43.5). Among other efficacy endpoints, the overall response rate was 21.7%, and median progression-free survival (PFS) and overall survival were 3.9 and 21.6 months, respectively. Heavily pretreated and ≥ 3 metastatic organ patients showed lower CBR and PFS than patients with a low number of previous regimens and < 3 metastatic organs. Moreover, CBR did not significantly change in L-pretreated compared with L-naïve patients (31.5% versus 40.5% for L-pretreated versus L-naïve). Grade 3/4 adverse events were reported in 19 patients (16.5%).[Conclusion]: The combination of L–T is an effective and well-tolerated regimen in heavily pretreated patients and remains active among patients progressing on prior L-based therapy. Our study suggests that the L–T regimen is a safe and active chemotherapy-free option for MBC patients previously treated with T and/or L.This work was supported by GlaxoSmithKline plc (GSK) through a contract with Medica Scientia Innovation Research (MedSIR), an academic research organization focused on independent clinical research development

    Treatment of cancer with oral drugs: a position statement by the Spanish Society of Medical Oncology (SEOM)

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    Cancer treatment involves the participation of multiple medical specialties and, as our knowledge of the disease increases, this fact becomes even more apparent. The degree of multidisciplinarity is determined by several factors, which include the severity and type of disease, the increasing diversity in the available pharmacological and non-pharmacological therapies, and the range of specialists involved in cancer therapy, such as medical oncologists, radiotherapists, gynecologists, gastroenterologists, urologists, surgeons, and pneumologists, among others. Across Europe, the situation of cancer care can be variable due to the diversity of health systems, differences in drug reimbursement, and the degree of establishment of Medical Oncology as a medical specialty in the European Union states

    A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer

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    Background: In hormone receptor-positive (HR+)/HER2-negative breast cancer, the HER2-enriched and Basal-like intrinsic subtypes are associated with poor outcome, low response to anti-estrogen therapy and high response to chemotherapy. To date, no validated biomarker exists to identify both molecular entities other than gene expression.Methods: PAM50 subtyping and immunohistochemical data were obtained from 8 independent studies of 1,416 HR+/HER2-negative early breast tumors. A non-luminal disease score (NOLUS) from 0 to 100, based on percentage of estrogen receptor (ER), progesterone receptor (PR) and Ki67 tumor cells, was derived in a combined cohort of 5 studies (training dataset) and tested in a combined cohort of 3 studies. The performance of NOLUS was estimated using Area Under the ROC Curve (AUC).Results: In the training dataset (n = 903) and compared to luminal disease, non-luminal disease had lower percentage of ER-positive cells (median 65.2 vs. 86.2%, p &lt; 0.01) and PR-positive cells (33.2 vs. 56.4%, p &lt; 0.01) and higher percentage of Ki67-positive cells (18.2 vs. 13.1%, p = 0.01). A NOLUS formula was derived: −0.45*ER −0.28*PR +0.27*Ki67 + 73.02. The proportion of non-luminal tumors in NOLUS-positive (≥51.38) and NOLUS-negative (&lt;51.38) groups was 52.6 and 8.7%, respectively. In the testing dataset (n = 514), NOLUS was found significantly associated with non-luminal disease (p &lt; 0.01) with an AUC 0.902. The proportion of non-luminal tumors in NOLUS-positive and NOLUS-negative groups was 76.9% (56.4–91.0%) and 2.6% (1.4–4.5%), respectively. The sensitivity and specificity of the pre-specified cutoff was 59.3 and 98.7%, respectively.Conclusions: In the absence of gene expression data, NOLUS can help identify non-luminal disease within HR+/HER2-negative breast cancer

    Phase III Trial of Adjuvant Capecitabine After Standard Neo-/Adjuvant Chemotherapy in Patients With Early Triple-Negative Breast Cancer (GEICAM/2003-11_CIBOMA/2004-01)

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    Altres ajuts: Agustí Barnadas: Honoraria: Pfizer. Consulting or Advisory Role: Pfizer, Novartis, Eli Lilly. Speakers'Bureau: Roche, Pfizer, Novartis, Genomic Health International. Travel, Accommodations, Expenses: Roche, Pfizer; Miguel A. Seguí: Consulting or Advisory Role: Roche, Pfizer, Novartis, Amgen, Eisai, Eli Lilly. Speakers' Bureau: Roche, Pfizer, Amgen. Research Funding: Roche (Inst), Novartis (Inst). Travel, Accommodations, Expenses: Roche, Pfizer, Novartis, Amgen.Operable triple-negative breast cancers (TNBCs) have a higher risk of relapse than non-TNBCs with standard therapy. The GEICAM/2003-11_CIBOMA/2004-01 trial explored extended adjuvant capecitabine after completion of standard chemotherapy in patients with early TNBC. Eligible patients were those with operable, node-positive-or node negative with tumor 1 cm or greater-TNBC, with prior anthracycline- and/or taxane-containing chemotherapy. After central confirmation of TNBC status by immunohistochemistry, patients were randomly assigned to either capecitabine or observation. Stratification factors included institution, prior taxane-based therapy, involved axillary lymph nodes, and centrally determined phenotype (basal v nonbasal, according to cytokeratins 5/6 and/or epidermal growth factor receptor positivity by immunohistochemistry). The primary objective was to compare disease-free survival (DFS) between both arms. Eight hundred seventy-six patients were randomly assigned to capecitabine (n = 448) or observation (n = 428). Median age was 49 years, 55.9% were lymph node negative, 73.9% had a basal phenotype, and 67.5% received previous anthracyclines plus taxanes. Median length of follow-up was 7.3 years. DFS was not significantly prolonged with capecitabine versus observation [hazard ratio (HR), 0.82; 95% CI, 0.63 to 1.06; P =.136]. In a preplanned subgroup analysis, nonbasal patients seemed to derive benefit from the addition of capecitabine with a DFS HR of 0.53 versus 0.94 in those with basal phenotype (interaction test P =.0694) and an HR for overall survival of 0.42 versus 1.23 in basal phenotype (interaction test P =.0052). Tolerance of capecitabine was as expected, with 75.2% of patients completing the planned 8 cycles. This study failed to show a statistically significant increase in DFS by adding extended capecitabine to standard chemotherapy in patients with early TNBC. In a preplanned subset analysis, patients with nonbasal phenotype seemed to obtain benefit with capecitabine, although this will require additional validation

    Vaccine breakthrough hypoxemic COVID-19 pneumonia in patients with auto-Abs neutralizing type I IFNs

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    Life-threatening `breakthrough' cases of critical COVID-19 are attributed to poor or waning antibody response to the SARS- CoV-2 vaccine in individuals already at risk. Pre-existing autoantibodies (auto-Abs) neutralizing type I IFNs underlie at least 15% of critical COVID-19 pneumonia cases in unvaccinated individuals; however, their contribution to hypoxemic breakthrough cases in vaccinated people remains unknown. Here, we studied a cohort of 48 individuals ( age 20-86 years) who received 2 doses of an mRNA vaccine and developed a breakthrough infection with hypoxemic COVID-19 pneumonia 2 weeks to 4 months later. Antibody levels to the vaccine, neutralization of the virus, and auto- Abs to type I IFNs were measured in the plasma. Forty-two individuals had no known deficiency of B cell immunity and a normal antibody response to the vaccine. Among them, ten (24%) had auto-Abs neutralizing type I IFNs (aged 43-86 years). Eight of these ten patients had auto-Abs neutralizing both IFN-a2 and IFN-., while two neutralized IFN-omega only. No patient neutralized IFN-ss. Seven neutralized 10 ng/mL of type I IFNs, and three 100 pg/mL only. Seven patients neutralized SARS-CoV-2 D614G and the Delta variant (B.1.617.2) efficiently, while one patient neutralized Delta slightly less efficiently. Two of the three patients neutralizing only 100 pg/mL of type I IFNs neutralized both D61G and Delta less efficiently. Despite two mRNA vaccine inoculations and the presence of circulating antibodies capable of neutralizing SARS-CoV-2, auto-Abs neutralizing type I IFNs may underlie a significant proportion of hypoxemic COVID-19 pneumonia cases, highlighting the importance of this particularly vulnerable population

    New random generalized linear model for sex determination based on cranial measurements

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    The estimation of the sex of the individual is a parameter of great value in forensic contexts and, above all, in archaeological contexts, where it is more difficult to apply genetic studies. In contrast with methods based on non-metric variables, we propose the use of a random generalized linear model for the determination of sex, starting from the Howells craniometric database and testing them on the dataset of known sex of the Forensic Data Bank, with 2524 and 1314 individuals respectively. After eliminating the individual’s considered outliers or with missing data, we proceeded to analyse which variables were more dimorphic between sexes (bizigomatic width, ZYB; bijugal width, JUB; mastoid height, MDH; glabela-occipital length, GOL; bifrontal width, FMB); these were used to build the statistical model. Subsequently, a comparison was made between the functions proposed by other authors and our model to determine their capacity in absolute terms, as well as by sex. The result is a random generalized linear model made up of 300 bags that, based on the five measures mentioned, reached 86.26% precision classifying the sex of individuals from the Forensic Data Bank (89.7% in the male sample and 82.82% in the female one). Although the method presented here should be taken with caution and not as the only way to estimate sex, it has proven to be statistically accurate in addition to having a non-regional vocation

    A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer

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    No luminal; Subtipus intrínsec; Càncer de mamaNo luminal; Subtipo intrínseco; Cáncer de mamaNon-luminal; Intrinsic subtype, Breast cancerBackground: In hormone receptor-positive (HR+)/HER2-negative breast cancer, the HER2-enriched and Basal-like intrinsic subtypes are associated with poor outcome, low response to anti-estrogen therapy and high response to chemotherapy. To date, no validated biomarker exists to identify both molecular entities other than gene expression. Methods: PAM50 subtyping and immunohistochemical data were obtained from 8 independent studies of 1,416 HR+/HER2-negative early breast tumors. A non-luminal disease score (NOLUS) from 0 to 100, based on percentage of estrogen receptor (ER), progesterone receptor (PR) and Ki67 tumor cells, was derived in a combined cohort of 5 studies (training dataset) and tested in a combined cohort of 3 studies. The performance of NOLUS was estimated using Area Under the ROC Curve (AUC). Results: In the training dataset (n = 903) and compared to luminal disease, non-luminal disease had lower percentage of ER-positive cells (median 65.2 vs. 86.2%, p < 0.01) and PR-positive cells (33.2 vs. 56.4%, p < 0.01) and higher percentage of Ki67-positive cells (18.2 vs. 13.1%, p = 0.01). A NOLUS formula was derived: −0.45*ER −0.28*PR +0.27*Ki67 + 73.02. The proportion of non-luminal tumors in NOLUS-positive (≥51.38) and NOLUS-negative (<51.38) groups was 52.6 and 8.7%, respectively. In the testing dataset (n = 514), NOLUS was found significantly associated with non-luminal disease (p < 0.01) with an AUC 0.902. The proportion of non-luminal tumors in NOLUS-positive and NOLUS-negative groups was 76.9% (56.4–91.0%) and 2.6% (1.4–4.5%), respectively. The sensitivity and specificity of the pre-specified cutoff was 59.3 and 98.7%, respectively. Conclusions: In the absence of gene expression data, NOLUS can help identify non-luminal disease within HR+/HER2-negative breast cancer.This work was supported by Instituto de Salud Carlos III - PI16/00904 (to AP), Banco Bilbao Vizcaya Argentaria Foundation (to AP), Pas a Pas (to AP), Save the Mama (to AP), Breast Cancer Research Foundation (to AP), Fundación Mutua Madrileña- Investigación en Salud 2018 (to AP), SEOM Translational Research Grant (to AF-M.), Banca d'Italia (to GP), and by T.C.I. telecomunicazioni (to GP)

    Growth patterns of normo-nourished Afghan, Haitian and Congolese children aged 6–59 months: A comparative study

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    Objectives International growth charts have been used in the past decades to identify atypical growth and diagnose the nutritional status of individuals. The aim of this study was to construct and compare growth patterns of normo-nourished children between 6–59 months from Afghanistan, Haiti, and the Democratic Republic of the Congo, to assess if it would be worth developing growth charts at a national level. Methods We used an international sample of 46 466 subjects (53.7% female; 46.3% male) from the aforementioned regions. To create the growth charts, we used different statistical methodologies: the Lambda-Mu-Sigma (LMS), LMSP, and LMST models, and regression models based on fractional polynomials. The LMSP models were the ones that fitted our data best and were therefore the ones used to make comparisons between countries using percentiles (3rd, 50th, and 97th). Results We found that Haitian children were both, taller and heavier than their Afghan and Congolese equals of the same ages. Moreover, differences were bigger in the highest percentiles (i.e., 97th percentile). These differences might be the result of the influence that genetics and diverse social and environmental contexts have on growth rates. Conclusions Using the same international reference standards for all populations could result in the overestimation or underestimation of the proportion of malnourished children. In light of our results, we recommend the future development of national and regional growth charts to provide health workers with more precise tools to evaluate the nutritional status in the child population
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