Qué sabemos a partir de los estudios epidemiológicos sobre la exposición residencial a ondas de radiofrecuencia y su relación con el cáncer

This review discusses epidemiological studies on residential exposure to radiofrequency fields and its possible association with cancer are commented. Most of these studies are ecologic. They use the distance to the power station as a surrogated measure of exposure. Possible confounders other than sex and age are rarely considered. For these reasons, it is difficult to infer causality from their results. Very often the study was a carried out due to the observation of cluster of cancer cases. Some of these clusters were reanalysed yielding different conclusions, showing their methodological weakness.En esta revisión se presentan y comentan los estudios existentes sobre la exposición residencial a campos de radiofrecuencia con relación a un posible aumento de incidencia o de mortalidad por cáncer. La mayor parte de estos estudios son de naturaleza ecológica, con una medida de exposición indirecta: la distancia a las antenas. El control de posibles factores de confusión más allá de la edad y el sexo es bastante limitado. Por estas razones, los resultados de estos estudios no tienen una fácil interpretación causal. Muchas veces el estudio fue motivado por la aparición de una agregación inusual de casos de cáncer. Algunos de estos clusters fueron reanalizados llegando a conclusiones diferentes, lo que demuestra la debilidad metodológica de este tipo de estudios

Expression of LRP and MDR1 in locally advanced breast cancer predicts axillary node invasion at the time of rescue mastectomy after induction chemotherapy

BACKGROUND: Axillary node status after induction chemotherapy for locally advanced breast cancer has been shown on multivariate analysis to be an independent predictor of relapse. However, it has been postulated that responders to induction chemotherapy with a clinically negative axilla could be spared the burden of lymphadenectomy, because most of them will not show histological nodal invasion. P-glycoprotein expression in the rescue mastectomy specimen has finally been identified as a significant predictor of patient survival. METHODS: We studied the expression of the genes encoding multidrug resistance associated protein (MDR1) and lung cancer associated resistance protein (LRP) in formalin-fixed, paraffin-embedded tumor samples from 52 patients treated for locally advanced breast cancer by means of induction chemotherapy followed by rescue mastectomy. P-glycoprotein expression was assessed by means of immunohistochemistry before treatment in 23 cases, and by means of reverse-transcriptase-mediated polymerase chain reaction (RT-PCR) after treatment in 46 (6 failed). LRP expression was detected by means of immunohistochemistry, with the LRP-56 monoclonal antibody, in 31 cases before treatment. Immunohistochemistry for detecting the expression of c-erb-B2, p53, Ki67, estrogen receptor and progesterone receptor are routinely performed in our laboratory in every case, and the results obtained were included in the study. All patients had received between two and six cycles of standard 5-fluorouracil, doxorubicin and cyclophosphamide (FAC) chemotherapy, with two exceptions [one patient received four cycles of a docetaxel-adriamycin combination, and the other four cycles of standard cyclophosphamide-methotrexate-5-fluorouracil (CMF) polychemotherapy]. Response was assessed in accordance with the Response Evaluation Criteria In Solid Tumors (RECIST). By these, 2 patients achieved a complete clinical response, 37 a partial response, and the remaining 13 showed stable disease. This makes a total clinical response rate of 75.0%. None achieved a complete pathological response. RESULTS: MDR1 mRNA expression detected by RT-PCR was associated with the presence of invaded axillary nodes at surgery in 18/22 cases (81.8%), compared with 13/24 (54.2%) in the group with undetectable MDR1 expression. This difference was statistically significant (P < 0.05). LRP expression in more than 20% of tumor cells before any treatment was associated with axillary nodal metastasis after chemotherapy and rescue mastectomy in 17/23 cases, compared with 3/8 in nonexpressors. Again, this difference was highly significant (P < 0.01). LRP expression before treatment and MDR1 mRNA expression after treatment were significantly interrelated (P < 0.001), which might reflect the presence of chemoresistant clones liable to metastasize to the regional nodes. Persistence of previously detected MDR1-positivity after treatment (7/9 compared with 0/2 cases) was significantly associated with axillary node metastasis (P < 0.05). Finally, in a logistic regression multivariate model, histology other than ductal, a Ki67 labeling index of at least 20% and the combination of LRP and MDR1 positivity emerged as independent predictors of axillary node invasion at the time of rescue mastectomy. CONCLUSION: The expression of different genes involved in resistance to chemotherapy, both before and after treatment with neoadjuvant, is associated with the presence of axillary node invasion at rescue surgery in locally advanced breast cancer. This might reflect the presence of intrinsically resistant clones before any form of therapy, which persist after it, and could be helpful both for prognosis and for the choice of individual treatment

Description of industrial pollution in Spain

BACKGROUND: Toxic substances released into the environment (to both air and water) by many types of industries might be related with the occurrence of some malignant tumours and other diseases. The publication of the EPER (European Pollutant Emission Register) Spanish data allows to investigate the presence of geographical mortality patterns related to industrial pollution. The aim of this paper is to describe industrial air and water pollution in Spain in 2001, broken down by activity group and specific pollutant, and to plot maps depicting emissions of carcinogenic substances. METHODS: All information on industrial pollution discharge in 2001 was drawn from EPER-Spain public records provided by the European Commission server. We described the distribution of the number of industries and amounts discharged for each pollutant, as well as emission by pollutant group and the industrial activities associated with each pollutant. Maps of Spain were drawn up, with UTM coordinates being used to plot pollutant foci, and circles with an area proportional to the emission to depict pollution emission values. RESULTS: The EPER-Spain contained information on 1,437 industrial installations. The industrial plants that discharge pollutant substances into air and water above the pollutant-specific EPER threshold were mainly situated in the Autonomous Regions of Aragon, Andalusia and Catalonia and in Catalonia, the Basque Country and Andalusia respectively. Pollution released in 2001 into air approached 158 million Mt. Emissions into water were over 8 million Mt. CONCLUSION: A few single industrial plants are responsible for the highest percentage of emissions, thus rendering monitoring of their possible health impact on the surrounding population that much simpler. Among European countries Spain is the leading polluter in almost one third of all EPER-registered pollutant substances released into the air and ranks among the top three leading polluters in two-thirds of all such substances. Information obtained through publication of EPER data means that the possible consequences of reported pollutant foci on the health of neighbouring populations can now be studied

Public Perceptions of the Role of Lifestyle Factors in Cancer Development: Results from the Spanish Onco-Barometer 2020

The European Code against Cancer recommends not to smoke, to avoid alcohol consumption, to eat a healthy diet, and maintain a healthy weight to prevent cancer. To what extent is the public aware of the influence of these lifestyle factors on cancer development? The goal of the current study was to describe the perceived influence of four lifestyle factors (tobacco, alcohol, diet, and weight) on cancer development in the general population and identify factors related to low perceptions of influence. We analyzed data from the 2020 Onco-barometer (n = 4769), a representative population-based survey conducted in Spain. With the exception of smoking, lifestyle factors were among those with the least perceived influence, more so among the demographic groups at higher risk from cancer including men and older individuals (65+ years). Individuals from lower socio-economic groups were more likely to report not knowing what influence lifestyle factors have on cancer. Lower perceived influence was also consistently related to perceiving very low risk from cancer. Overall, although there is variation in perceptions regarding the different lifestyle factors, low perceived influence clusters among those at higher risk for cancer. These results signal the need for public health campaigns and messages informing the public about the preventive potential of lifestyle factors beyond avoiding tobacco consumption.Cancer Observatory of the Spanish Association against CancerCancer Epidemiological Surveillance Subprogram (VICA) of the CIBERESP, Health Institute Carlos III, Madrid, SpainHealth Institute Carlos III (Expde: CD19/00203)Juan de la Cierva Fellowship from the Ministry of Science and the National Research Agency (MCIN/AEI, JC2019- 039691-I, http://dx.doi.org/10.13039/501100011033, 3 October 2021)

Heath-related quality of life in Spanish breast cancer patients: a systematic review

<p>Abstract</p> <p>Background</p> <p>Breast cancer is one of the oncological diseases in which health-related quality of life (HRQL) has been most studied. This is mainly due to its high incidence and survival. This paper seeks to: review published research into HRQL among women with breast cancer in Spain; analyse the characteristics of these studies; and describe the instruments used and main results reported.</p> <p>Methods</p> <p>The databases consulted were MEDLINE, EMBASE, PsycINFO, Dialnet, IBECS, CUIDEN, ISOC and LILACS. The inclusion criteria required studies to: 1) include Spanish patients, and a breakdown of results where other types of tumours and/or women from other countries were also included; and, 2) furnish original data and measure HRQL using a purpose-designed questionnaire. The methodological quality of studies was assessed.</p> <p>Results</p> <p>Spain ranked midway in the European Union in terms of the number of studies conducted on the HRQL of breast cancer patients. Of the total of 133 papers published from 1993 to 2009, 25 met the inclusion criteria. Among them, only 12 were considered as having good or excellent quality. A total of 2236 women participated in the studies analysed. In descending order of frequency, the questionnaires used were the EORTC, FACT-B, QL-CA-Afex, SF-12, FLIC, RSCL and CCV. Five papers focused on validation or adaptation of questionnaires. Most papers examined HRQL in terms of type of treatment. Few differences were detected by type of chemotherapy, with the single exception of worse results among younger women treated with radiotherapy. In the short term, better results were reported for all HRQL components by women undergoing conservative rather than radical surgery. Presence of lymphedema was associated with worse HRQL. Three studies assessed differences in HRQL by patients' psychological traits. Psychosocial disorder and level of depression and anxiety, regardless of treatment or disease stage, worsened HRQL. In addition, there was a positive effect among patients who reported having a "fighting spirit" and using "denial" as a defence mechanism. One study found that breast cancer patients scored worse than did healthy women on almost all SF-12 scales.</p> <p>Conclusion</p> <p>Research into health-related quality of life of breast-cancer patients is a little developed field in Spain.</p

Duration of the patient interval in breast cancer and factors associated with longer delays in low‐and middle‐income countries: A systematic review with meta‐analysis

Objective: Breast cancer survival is lower in low‐ and middle‐income countries (LMICs) partially due to many women being diagnosed with late‐stage disease. The patient interval refers to the time elapsed between the detection of symptoms and the first consultation with a healthcare provider and is considered one of the core indicators for early diagnosis and treatment. The goal of the current research was to conduct a meta‐analysis of the duration of the patient interval in LMICs and investigate the socio‐demographic and socio‐cultural factors related to longer delays in presentation. Methods: We conducted a systematic review with meta‐analysis (pre‐registered protocol CRD42020200752). We searched seven information sources (2009–2022) and included 50 articles reporting the duration of patient intervals for 18,014 breast cancer patients residing in LMICs. Results: The longest patient intervals were reported in studies from the Middle East (3–4 months), followed by South‐East Asia (2 months), Africa (1–2 months), Latin America (1 month), and Eastern Europe (1 month). Older age, not being married, lower socio‐economic status, illiteracy, low knowledge about cancer, disregarding symptoms or not attributing them to cancer, fear, negative beliefs about cancer, and low social support were related to longer delays across most regions. Longer delays were also related to use of alternative medicine in the Middle East, South‐East Asia, and Africa and distrust in the healthcare system in Eastern Europe. Conclusions: There is large variation in the duration of patient intervals across LMICs in different geographical regions. Patient intervals should be reduced and, for this purpose, it is important to explore their determinants taking into account the social, cultural, and economic context.Centro de Investigacion Biomedica en Red de Epidemiologia y Salud PublicaAgencia Estatal de InvestigacionFundacion Cientifica Asociacion Espanola Contra el Cance

Lung cancer risk and pollution in an industrial region of Northern Spain: a hospital-based case-control study

<p>Abstract</p> <p>Background</p> <p>Asturias, an Autonomous Region in Northern Spain with a large industrial area, registers high lung cancer incidence and mortality. While this excess risk of lung cancer might be partially attributable to smoking habit and occupational exposure, the role of industrial and urban pollution also needs to be assessed. The objective was to ascertain the possible effect of air pollution, both urban and industrial, on lung cancer risk in Asturias.</p> <p>Methods</p> <p>This was a hospital-based case-control study covering 626 lung cancer patients and 626 controls recruited in Asturias and matched by ethnicity, hospital, age, and sex. Distances from the respective participants' residential locations to industrial facilities and city centers were computed. Using logistic regression, odds ratios (ORs) and 95% confidence intervals (95%CIs) for categories of distance to urban and industrial pollution sources were calculated, with adjustment for sex, age, hospital area, tobacco consumption, family history of cancer, and occupation.</p> <p>Results</p> <p>Whereas individuals living near industries displayed an excess risk of lung cancer (OR = 1.49; 95%CI = 0.93-2.39), which attained statistical significance for small cell carcinomas (OR = 2.23; 95%CI = 1.01-4.92), residents in urban areas showed a statistically significant increased risk for adenocarcinoma (OR = 1.92; 95%CI = 1.09-3.38). In the Gijon health area, residents in the urban area registered a statistically significant increased risk of lung cancer (OR = 2.17; 95%CI = 1.25-3.76), whereas in the Aviles health area, no differences in risk were found by area of exposure.</p> <p>Conclusions</p> <p>This study provides further evidence that air pollution is a moderate risk factor for lung cancer.</p

Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts

[EN] Background The breast dense tissue percentage on digital mammograms is one of the most commonly used markers for breast cancer risk estimation. Geometric features of dense tissue over the breast and the presence of texture structures contained in sliding windows that scan the mammograms may improve the predictive ability when combined with the breast dense tissue percentage. Methods A case/control study nested within a screening program covering 1563 women with craniocaudal and mediolateral-oblique mammograms (755 controls and the contralateral breast mammograms at the closest screening visit before cancer diagnostic for 808 cases) aging 45 to 70 from Comunitat Valenciana (Spain) was used to extract geometric and texture features. The dense tissue segmentation was performed using DMScan and validated by two experienced radiologists. A model based on Random Forests was trained several times varying the set of variables. A training dataset of 1172 patients was evaluated with a 10-stratified-fold cross-validation scheme. The area under the Receiver Operating Characteristic curve (AUC) was the metric for the predictive ability. The results were assessed by only considering the output after applying the model to the test set, which was composed of the remaining 391 patients. Results The AUC score obtained by the dense tissue percentage (0.55) was compared to a machine learning-based classifier results. The classifier, apart from the percentage of dense tissue of both views, firstly included global geometric features such as the distance of dense tissue to the pectoral muscle, dense tissue eccentricity or the dense tissue perimeter, obtaining an accuracy of 0.56. By the inclusion of a global feature based on local histograms of oriented gradients, the accuracy of the classifier was significantly improved (0.61). The number of well-classified patients was improved up to 236 when it was 208. Conclusion Relative geometric features of dense tissue over the breast and histograms of standardized local texture features based on sliding windows scanning the whole breast improve risk prediction beyond the dense tissue percentage adjusted by geometrical variables. Other classifiers could improve the results obtained by the conventional Random Forests used in this study.This work was partially funded by Generalitat Valenciana through I+D IVACE (Valencian Institute of Business Competitiviness) and GVA (European Regional Development Fund) supports under the project IMAMCN/2018/1, and by Carlos III Institute of Health under the project DTS15/00080Pérez-Benito, FJ.; Signol, F.; Perez-Cortes, J.; Pollán, M.; Perez-Gómez, B.; Salas-Trejo, D.; Casals, M.... (2019). Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts. Computer Methods and Programs in Biomedicine. 177:123-132. https://doi.org/10.1016/j.cmpb.2019.05.022S12313217

Long-term nightshift work and breast cancer risk: An updated systematic review and meta-analysis with special attention to menopausal status and to recent nightshift work

This systematic review discusses long-term NSW and female BC risk, with special attention to differences between pre-and postmenopausal BC, to test the association with recent NSW. The review follows PRISMA guidelines (Prospero registry: CRD42018102515). We searched PubMed, Embase, and WOS for case–control, nested case–control, and cohort studies addressing long-term NSW (≥15 years) as risk exposure and female BC as outcome until 31 December 2020. Risk of bias was evaluated with the Newcastle–Ottawa scale. Eighteen studies were finally in-cluded (eight cohorts; five nested case–control; five case–control). We performed meta-analyses on long-term NSW and BC risk; overall and by menopausal status; a subanalysis on recent long-term NSW, based on studies involving predominantly women below retirement age; and a dose– response meta-analysis on NSW duration. The pooled estimate for long-term NSW and BC was 1.13 (95%CI = 1.01–1.27; 18 studies, I2 = 56.8%, p = 0.002). BC risk increased 4.7% per 10 years of NSW (95%CI = 0.94–1.09; 16 studies, I2 = 33.4%, p = 0.008). The pooled estimate for premenopausal BC was 1.27 (95%CI = 0.96–1.68; six studies, I2 = 32.0%, p = 0.196) and for postmenopausal BC 1.05 (95%CI = 0.90–1.24, I2 = 52.4%; seven studies, p = 0.050). For recent long-term exposure, the pooled estimate was 1.23 (95%CI = 1.06–1.42; 15 studies; I2 = 48.4%, p = 0.018). Our results indicate that long-term NSW increases the risk for BC and that menopausal status and time since exposure might be relevant.This research received no external funding

Case studies in physiology: Training adaptation in an elite athlete after breast cancer diagnosis.

The aim of this study was to evaluate the capacity to return to competition of a 28-yr-old female 400-m hurdle elite athlete after a diagnosis of breast cancer. The study lasted 14 mo after diagnosis. She was tested four times (T1–T4) to measure body mass (BM), body mass index (BMI), percentage of total fat mass (TFM%), total fat-free mass (TFFM%), bone mineral density (BMD), one-repetition maximum (1RM), and maximal power (MP) in bench press and half squat, maximum oxygen uptake, and 400-m dash and hurdles. T0 (baseline time) was established with values before diagnosis. BM and BMI increased from T0 to T1 (5.3% and 5.2%) and remained stable. BMD experienced no change. TFM% values decreased from T1 to T4 (3.5%). TFFM% values increased from T1 to T3 (0.9%). During T1–T2, the athlete presented a global decline from T0 in 1RMSquat, 1RMBench, MPSquat, and MPBench (32.6%, 27.2%, 37.5%, and 27.6%, respectively). Results during T3–T4 were also lower for these parameters from T0 (23.3%, 20.6%, 23.4%, and 11%). During T1–T2, the V̇o2max declined compared with T0 (1.8% and 6.4%), showing a small increase at T3 (+1%) and reaching the lowest level at T4 (9%). During T1–T2, the time record of 400-m dash (8.3%) and hurdles (7.4%) increased. However, a slight improvement was found at T3 (1.3% and 0.6%, respectively). The results of this case study reflect that exercise training improved body composition, maintained BMD and TFFM, but could not completely reverse the worsening of the cardiorespiratory, muscle strength and power, and running performance levels.pre-print325 K