902 resultados para Breast cancer-initiating cells
Resumo:
Il tumore al seno è il più comune tra le donne nel mondo. La radioterapia è comunemente usata dopo la chirurgia per distruggere eventuali cellule maligne rimaste nel volume del seno. Nei trattamenti di radioterapia bisogna cercare di irradiare il volume da curare limitando contemporaneamente la tossicità nei tessuti sani. In clinica i parametri che definiscono il piano di trattamento radioterapeutico sono selezionati manualmente utilizzando un software di simulazione per trattamenti. Questo processo, detto di trial and error, in cui i differenti parametri vengono modificati e il trattamento viene simulato nuovamente e valutato, può richiedere molte iterazioni rendendolo dispendioso in termini di tempo. Lo studio presentato in questa tesi si concentra sulla generazione automatica di piani di trattamento per irradiare l'intero volume del seno utilizzando due fasci approssimativamente opposti e tangenti al paziente. In particolare ci siamo concentrati sulla selezione delle direzioni dei fasci e la posizione dell'isocentro. A questo scopo, è stato investigata l'efficacia di un approccio combinatorio, nel quale sono stati generati un elevato numero di possibili piani di trattamento utilizzando differenti combinazioni delle direzioni dei due fasci. L'intensità del profilo dei fasci viene ottimizzata automaticamente da un algoritmo, chiamato iCycle, sviluppato nel ospedale Erasmus MC di Rotterdam. Inizialmente tra tutti i possibili piani di trattamento generati solo un sottogruppo viene selezionato, avente buone caratteristiche per quel che riguarda l'irraggiamento del volume del seno malato. Dopo di che i piani che mostrano caratteristiche ottimali per la salvaguardia degli organi a rischio (cuore, polmoni e seno controlaterale) vengono considerati. Questi piani di trattamento sono matematicamente equivalenti quindi per selezionare tra questi il piano migliore è stata utilizzata una somma pesata dove i pesi sono stati regolati per ottenere in media piani che abbiano caratteristiche simili ai piani di trattamento approvati in clinica. Questo metodo in confronto al processo manuale oltre a ridurre considerevol-mente il tempo di generazione di un piano di trattamento garantisce anche i piani selezionati abbiano caratteristiche ottimali nel preservare gli organi a rischio. Inizialmente è stato utilizzato l'isocentro scelto in clinica dal tecnico. Nella parte finale dello studio l'importanza dell'isocentro è stata valutata; ne è risultato che almeno per un sottogruppo di pazienti la posizione dell'isocentro può dare un importante contributo alla qualità del piano di trattamento e quindi potrebbe essere un ulteriore parametro da ottimizzare.
Resumo:
The diagnosis, grading and classification of tumours has benefited considerably from the development of DCE-MRI which is now essential to the adequate clinical management of many tumour types due to its capability in detecting active angiogenesis. Several strategies have been proposed for DCE-MRI evaluation. Visual inspection of contrast agent concentration curves vs time is a very simple yet operator dependent procedure, therefore more objective approaches have been developed in order to facilitate comparison between studies. In so called model free approaches, descriptive or heuristic information extracted from time series raw data have been used for tissue classification. The main issue concerning these schemes is that they have not a direct interpretation in terms of physiological properties of the tissues. On the other hand, model based investigations typically involve compartmental tracer kinetic modelling and pixel-by-pixel estimation of kinetic parameters via non-linear regression applied on region of interests opportunely selected by the physician. This approach has the advantage to provide parameters directly related to the pathophysiological properties of the tissue such as vessel permeability, local regional blood flow, extraction fraction, concentration gradient between plasma and extravascular-extracellular space. Anyway, nonlinear modelling is computational demanding and the accuracy of the estimates can be affected by the signal-to-noise ratio and by the initial solutions. The principal aim of this thesis is investigate the use of semi-quantitative and quantitative parameters for segmentation and classification of breast lesion. The objectives can be subdivided as follow: describe the principal techniques to evaluate time intensity curve in DCE-MRI with focus on kinetic model proposed in literature; to evaluate the influence in parametrization choice for a classic bi-compartmental kinetic models; to evaluate the performance of a method for simultaneous tracer kinetic modelling and pixel classification; to evaluate performance of machine learning techniques training for segmentation and classification of breast lesion.
Resumo:
Breast cancer (BC) is the most often diagnosed cancer entity of women worldwide. No molecular biomarkers are usable in the clinical routine for the early detection of BC. Proteomics is one of the dynamic tools for the successful examination of changes on the protein level. In this thesis different proteomics-based investigations were performed for the detection of protein and autoantibody biomarkers in serum samples of BC and healthy (CTRL) subjects. First, protein levels of candidates from previous profiling studies were investigated via antibody-microarray platform. Three proteins were found in distinct levels in both groups: secretoglobin family 1D member 1, alpha-2 macroglobulin and inter-alpha-trypsin inhibitor heavy chain family member 4. The second part was dedicated to the de novo exploration of potentially immunogenic tumor antigens (TA’s) with immunoprecipitation and Western immunoblotting followed by identification over mass spectrometry. Autoantibody levels were verified in individual serum profiling via the protein microarray platform. Two autoantibody’ cohorts (anti-Histone 2B and anti-Recoverin) were found in different levels in both groups. The findings of this PhD thesis underline deregulated serum protein and autoantibody levels in the presence of BC. Further investigations are needed to confirm the results in an independent study population.
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Purpose To evaluate geriatric assessment (GA) domains in relation to clinically important outcomes in older breast cancer survivors. Methods Six hundred sixty women diagnosed with primary breast cancer in four US geographic regions (Los Angeles, CA; Minnesota; North Carolina; and Rhode Island) were selected with disease stage I to IIIA, age ≥ 65 years at date of diagnosis, and permission from attending physician to contact. Data were collected over 7 years of follow-up from consenting patients' medical records, telephone interviews, physician questionnaires, and the National Death Index. Outcomes included self-reported treatment tolerance and all-cause mortality. Four GA domains were described by six individual measures, as follows: sociodemographic by adequate finances; clinical by Charlson comorbidity index (CCI) and body mass index; function by number of physical function limitations; and psychosocial by the five-item Mental Health Index (MHI5) and Medical Outcomes Study Social Support Survey (MOS-SSS). Associations were evaluated using t tests, χ2 tests, and regression analyses. Results In multivariable regression including age and stage, three measures from two domains (clinical and psychosocial) were associated with poor treatment tolerance; these were CCI ≥ 1 (odds ratio [OR] = 2.49; 95% CI, 1.18 to 5.25), MHI5 score less than 80 (OR = 2.36; 95% CI, 1.15 to 4.86), and MOS-SSS score less than 80 (OR = 3.32; 95% CI, 1.44 to 7.66). Four measures representing all four GA domains predicted mortality; these were inadequate finances (hazard ratio [HR] = 1.89; 95% CI, 1.24 to 2.88; CCI ≥ 1 (HR = 1.38; 95% CI, 1.01 to 1.88), functional limitation (HR = 1.40; 95% CI, 1.01 to 1.93), and MHI5 score less than 80 (HR = 1.34; 95% CI, 1.01 to 1.85). In addition, the proportion of women with these outcomes incrementally increased as the number of GA deficits increased. Conclusion This study provides longitudinal evidence that GA domains are associated with poor treatment tolerance and predict mortality at 7 years of follow-up, independent of age and stage of disease.
Resumo:
Lymphedema of the arm is a common complication of breast cancer with symptoms that can persist over long periods of time. For older women (over 50% of breast cancer cases) it means living with the potential for long-term complications of persistent lymphedema in conjunction with the common diseases and disabilities of aging over survivorship. We identified women > or =65 years diagnosed with primary stage I-IIIA breast cancer. Data were collected over 7 years of follow-up from consenting patients' medical records and telephone interviews. Data collected included self-reported symptoms of persistent lymphedema, breast cancer characteristics, and selected sociodemographic and health-related characteristics. The overall prevalence of symptoms of persistent lymphedema was 36% over 7 years of follow-up. Having stage II or III (OR = 1.77, 95% CI: 1.07-2.93) breast cancer and having a BMI >30 (OR = 3.04, 95% CI: 1.69-5.45) were statistically significantly predictive of symptoms of persistent lymphedema. Women > or =80 years were less likely to report symptoms of persistent lymphedema when compared to younger women (OR = 0.44, 95% CI: 0.18-0.95). Women with symptoms of persistent lymphedema consistently reported worse general mental health and physical function. Symptoms of persistent lymphedema were common in this population of older breast cancer survivors and had a noticeable effect on both physical function and general mental health. Our findings provide evidence of the impact of symptoms of persistent lymphedema on the quality of survivorship of older women. Clinical and research efforts focused on risk factors for symptoms of persistent lymphedema in older breast cancer survivors may lead to preventative and therapeutic measures that help maintain their health and well-being over increasing periods of survivorship.
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Malignant pleural mesothelioma (MPM) is a lethal cancer of the mesothelium with high chemotherapeutic resistance via unknown mechanisms. A prevailing hypothesis states that cancer stem cells (CSCs) persist in tumors causing relapse after chemotherapy, thus, rendering these cells as critical targets responsible for tumor resistance and recurrence. We selected candidate CSC markers based on expansion under hypoxic conditions, a hallmark for the selection of chemoresistant cells; and investigated the expression of CSC markers: CD133, Bmi-1, uPAR and ABCG2 in three MPM cell lines and normal mesothelial cells by quantitative RT-PCR. Furthermore, we evaluated the chemotherapeutic resistance associated with each CSC marker by determining the change in CSC marker-mRNA levels as an index of drug-resistance following treatment with either cisplatin or pemetrexed. We demonstrate the expression of CSC markers: CD133, Bmi-1, uPAR and ABCG2 in both normal and MPM cell lines. Bmi-1+, uPAR+ and ABCG2+ cells show a distinct role in conferring chemoresistance to cisplatin and pemetrexed in the malignant setting. By contrast, these markers have no apparent participation in chemoresistance to drug treatments in normal mesothelial cells. Intriguingly, CD133 revealed chemoresistant properties in both normal mesothelial and malignant pleural mesothelioma cells. This study provides evidence of putative CSCs conferring drug-resistance to cisplatin and pemetrexed in MPM cell lines. Specific targeting of these drug-resistant cells, while considering the functional heterogeneity of the MPM subtypes, may contribute to more focused and effective chemotherapeutic regimens for malignant pleural mesothelioma.
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OBJECTIVES To compare longitudinal patterns of health care utilization and quality of care for other health conditions between breast cancer-surviving older women and a matched cohort without breast cancer. DESIGN Prospective five-year longitudinal comparison of cases and matched controls. SUBJECTS Newly identified breast cancer patients recruited during 1997–1999 from four geographic regions (Los Angeles, CA; Minnesota; North Carolina; and Rhode Island; N = 422) were matched by age, race, baseline comorbidity and zip code location with up to four non-breast-cancer controls (N = 1,656). OUTCOMES Survival; numbers of hospitalized days and physician visits; total inpatient and outpatient Medicare payments; guideline monitoring for patients with cardiovascular disease and diabetes, and bone density testing and colorectal cancer screening. RESULTS Five-year survival was similar for cases and controls (80% and 82%, respectively; p = 0.18). In the first follow-up year, comorbidity burden and health care utilization were higher for cases (p < 0.01), with most differences diminishing over time. However, the number of physician visits was higher for cases (p < 0.01) in every year, driven partly by more cancer and surgical specialist visits. Cases and controls adhered similarly to recommended bone density testing, and monitoring of cardiovascular disease and diabetes; adherence to recommended colorectal cancer screening was better among cases. CONCLUSION Breast cancer survivors’ health care utilization and disease burden return to pre-diagnosis levels after one year, yet their greater use of outpatient care persists at least five years. Quality of care for other chronic health problems is similar for cases and controls.
Resumo:
Tumour cells with a stem cell-like phenotype have recently been identified in prostate tumors and it has been suggested that this population may be responsible for the diversity of cell types within tumors and also for the initiation of metastases. These cells carry a number of defined markers: they are cd133 and cd44+ve and express high levels of alpha2beta1 integrin. In this study we have, for the first time, assessed matched primary and bone marrow biopsies from prostate cancer patients for the distribution of cells carrying these and a number of other putative stem cell markers.
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Adjuvant therapy has improved the survival of women with early breast cancer (BC). Meta-analyses suggest that anthracycline-based regimens reduced the annual BC death rate by 40% in women below the age of 50 and 20% in older women. Novel agents designed to modulate abnormal growth factor signaling in and around the BC cell further increase patients' chances of survival. However, both conventional chemotherapeutic agents as well as some of the novel signaling inhibitors can induce important cardiovascular side-effects, potentially attenuating the progress made in recent years. The mechanism of cancer drug-induced cardiovascular complications varies greatly with some compounds inducing irreversible myocardial cell damage, while others lead to temporary cell dysfunction. The challenge of the future will be to prospectively discriminate between irreversible damage which can lead to progressive cardiovascular disease and reversible cardiovascular dysfunctions without further prognostic implications. Since adjuvant therapy for BC is potentially curative, emphasis must be placed on finding treatments combining maximum efficacy with the minimum of long-term side-effects in order to achieve survival with preserved quality of life.
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pegylated liposomal doxorubicin (PLD) and bevacizumab are active agents in the treatment of metastatic breast cancer (MBC). We carried out a multicenter, single-arm phase II trial to evaluate the toxicity and efficacy of PLD and bevacizumab as first-line treatment in MBC patients.
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Pathological complete response (pCR) to neoadjuvant treatment correlates with outcome in breast cancer. We determined whether characteristics of neoadjuvant therapy are associated with pCR. We used multi-level models, which accounted for heterogeneity in pCR across trials and trial arms, to analyze individual patient data from 3332 women included in 7 German neoadjuvant trials with uniform protocols. PCR was associated with an increase in number of chemotherapy cycles (odds ratio [OR] 1.2 for every two additional cycles; P = 0.009), with higher cumulative anthracycline doses (OR 1.6; P = 0.002), higher cumulative taxane doses (OR 1.6; P = 0.009), and with capecitabine containing regimens (OR 1.62; P = 0.022). Association of pCR with increase in number of cycles appeared more pronounced in hormone receptor (HR)-positive tumors (OR 1.35) than in HR-negative tumors (OR 1.04; P for interaction = 0.046). Effect of anthracycline dose was particularly pronounced in HER2-negative tumors (OR 1.61), compared to HER2-positive tumors (OR 0.83; P for interaction = 0.14). Simultaneous trastuzumab treatment in HER2-positive tumors increased odds of pCR 3.2-fold (P < 0.001). No association of pCR and number of trastuzumab cycles was found (OR 1.20, P = 0.39). Dosing characteristics appear important for successful treatment of breast cancer. Longer treatment, higher cumulative doses of anthracyclines and taxanes, and the addition of capecitabine and trastuzumab are associated with better response. Tailoring according to breast cancer phenotype might be possible: longer treatment in HR-positive tumors, higher cumulative anthracycline doses for HER2-negative tumors, shorter treatment at higher cumulative doses for triple-negative tumors, and limited number of preoperative trastuzumab cycles in HER2-positive tumors.