Screening Practices among First Degree Relatives of Breast Cancer Patients in Nepal

Abstract Background Family history is a significant risk factor for development of breast cancer, particularly for women of first-degree relatives. For women at high risk for breast cancer, regular screening is the mainstay of risk management. This study aims to find out the breast cancer screening practices among first degree relatives of breast cancer patient and determine factors associated with their screening practices.Methods A cross-sectional study was carried out among 150 purposively selected first-degree female relatives of breast cancer patients undergoing treatment at B.P Koirala Memorial Cancer Hospital, aged between 20 and 60 years. A semi-structured questionnaire was used to collect data by face to face interview. Screening practices were characterized as regular screening practices performed by the respondents, which include any of these screening methods: monthly breast self-examination or clinical examination yearly at least once in 3 years or regular mammogram 1 or 2 yearly. Level of awareness was categorized into two categories ‘high level’ and ‘low level’ taking median score as the cut-off value. Chi-square tests and multiple logistic regression were used to test the association between screening practices and related factors.Results The mean age of the participants was 37.6 years (SD 10.9). A total of 38.7% had practiced regular breast screening methods. Only two-fifth of them had a high level of awareness on risk factors and warning signs of breast cancer. In multiple logistic regression, literate (OR 7.13, 95% CI 2.32-21.10), economic status above poverty line (OR 2.62, 95% CI 1.01-6.80), presence of benign breast disease (OR 5.10, 95% CI 1.31-19.84) and high perceived risk of breast cancer (OR 14.17, 95% CI 5.10-39.41) were found to be significant positive predictors of regular screening practices.Conclusions This study showed a low rate of regular screening practices among the first degree relatives of breast cancer patients. There is a need to provide comprehensive, updated, and inclusive information and support and interventions aimed at increasing awareness of the importance of healthy behaviors in cancer prevention among these high-risk groups.

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Screening Practices among First Degree Relatives of Breast Cancer Patients in Nepal: A Cross-sectional Study

Asian Pacific Journal of Cancer Care ◽

10.31557/apjcc.2021.6.3.297-303 ◽

2021 ◽

Vol 6 (3) ◽

pp. 297-303

Author(s):

Rashmi Mulmi ◽

Gambhir Shrestha ◽

Surya Raj Niraula ◽

Deepak Kumar Yadav ◽

Paras Kumar Pokharel

Keyword(s):

Breast Cancer ◽

High Risk ◽

Cancer Patients ◽

Cross Sectional Study ◽

Breast Cancer Patients ◽

Sectional Study ◽

Cross Sectional ◽

Screening Practices ◽

First Degree Relatives ◽

Regular Screening

Objective: Family history is a significant risk factor for development of breast cancer, particularly for women of first-degree relatives. For women at high risk for breast cancer, regular screening is the mainstay of risk management. This study aims to find out the breast cancer screening practices among first degree relatives of breast cancer patient. Methods: A cross-sectional study was carried out among 150 purposively selected first-degree female relatives of breast cancer patients undergoing treatment at B.P Koirala Memorial Cancer Hospital, aged between 20 and 60 years. A semi-structured questionnaire was used to collect data by face to face interview, which included socio-demographic characteristics, personal history, awareness on breast cancer and screening practices. Results: The mean age of the participants was 37.6 years (SD 10.9). A total of 116 (77.3%) women had ever practiced breast self-examination (regular=34.7%; irregular= 42.7%) and 42 (28.0%) had ever practiced clinical breast examination (regular=14.7%; irregular=13.3%). Only 10 percent of the women had performed mammogram regularly. Only two-fifth of them had a high level of awareness on risk factors and warning signs of breast cancer. Conclusions: This study showed a low rate of regular screening practices among the first degree relatives of breast cancer patients. There is a need to provide comprehensive, and inclusive information and support and interventions aimed at increasing awareness of the importance of healthy behaviors in cancer prevention among these high-risk groups.

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A logistic regression nomogram to predict axillary lymph node metastasis in early invasive breast cancer patients

10.26226/morressier.5b4709836f4cb30010951a6e ◽

2018 ◽

Author(s):

Parnaz Daneshpajouhnejad

Keyword(s):

Breast Cancer ◽

Logistic Regression ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Cancer Patients ◽

Invasive Breast Cancer ◽

Axillary Lymph Node Metastasis ◽

Axillary Lymph ◽

Breast Cancer Patients ◽

Node Metastasis

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Serum Long Non-Coding RNAs PVT1, HOTAIR, and NEAT1 as Potential Biomarkers in Egyptian Women with Breast Cancer

Biomolecules ◽

10.3390/biom11020301 ◽

2021 ◽

Vol 11 (2) ◽

pp. 301

Author(s):

Amal Ahmed Abd El-Fattah ◽

Nermin Abdel Hamid Sadik ◽

Olfat Gamil Shaker ◽

Amal Mohamed Kamal ◽

Nancy Nabil Shahin

Keyword(s):

Breast Cancer ◽

Logistic Regression ◽

Cancer Patients ◽

Breast Cancer Diagnosis ◽

Serum Levels ◽

Breast Cancer Patients ◽

Multivariate Logistic Regression ◽

Expression Levels ◽

Non Coding Rnas ◽

Pai 1

Long non-coding RNAs play an important role in tumor growth, angiogenesis, and metastasis in several types of cancer. However, the clinical significance of using lncRNAs as biomarkers for breast cancer diagnosis and prognosis is still poorly investigated. In this study, we analyzed the serum expression levels of lncRNAs PVT1, HOTAIR, NEAT1, and MALAT1, and their associated proteins, PAI-1, and OPN, in breast cancer patients compared to fibroadenoma patients and healthy subjects. Using quantitative real-time PCR (qRT-PCR), we compared the serum expression levels of the four circulating lncRNAs in patients with breast cancer (n = 50), fibroadenoma (n = 25), and healthy controls (n = 25). The serum levels of PAI-1 and OPN were measured using ELISA. Receiveroperating-characteristic (ROC) analysis and multivariate logistic regression were used to evaluate the diagnostic value of the selected parameters. The serum levels of HOTAIR, PAI-1, and OPN were significantly higher in breast cancer patients compared to controls and fibroadenoma patients. The serum level of PVT1 was significantly higher in breast cancer patients than in the controls, while that of NEAT1 was significantly lower in breast cancer patients compared to controls and fibroadenoma patients. Both ROC and multivariate logistic regression analyses revealed that PAI-1 has the greatest power in discriminating breast cancer from the control, whereas HOTAIR, PAI-1, and OPN have the greatest power in discriminating breast cancer from fibroadenoma patients. In conclusion, our data suggest that the serum levels of PVT1, HOTAIR, NEAT1, PAI-1, and OPN could serve as promising diagnostic biomarkers for breast cancer.

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Serum N-glycan profiles differ for various breast cancer subtypes

Glycoconjugate Journal ◽

10.1007/s10719-021-10001-3 ◽

2021 ◽

Author(s):

Gerda C. M. Vreeker ◽

Kiki M. H. Vangangelt ◽

Marco R. Bladergroen ◽

Simone Nicolardi ◽

Wilma E. Mesker ◽

...

Keyword(s):

Breast Cancer ◽

Early Detection ◽

Cancer Patients ◽

High Resolution Mass Spectrometry ◽

Case Control ◽

Total Serum ◽

Screening Methods ◽

Breast Cancer Patients ◽

Cancer Subtypes ◽

Control Comparison

AbstractBreast cancer is the most prevalent cancer in women. Early detection of this disease improves survival and therefore population screenings, based on mammography, are performed. However, the sensitivity of this screening modality is not optimal and new screening methods, such as blood tests, are being explored. Most of the analyses that aim for early detection focus on proteins in the bloodstream. In this study, the biomarker potential of total serum N-glycosylation analysis was explored with regard to detection of breast cancer. In an age-matched case-control setup serum protein N-glycan profiles from 145 breast cancer patients were compared to those from 171 healthy individuals. N-glycans were enzymatically released, chemically derivatized to preserve linkage-specificity of sialic acids and characterized by high resolution mass spectrometry. Logistic regression analysis was used to evaluate associations of specific N-glycan structures as well as N-glycosylation traits with breast cancer. In a case-control comparison three associations were found, namely a lower level of a two triantennary glycans and a higher level of one tetraantennary glycan in cancer patients. Of note, various other N-glycomic signatures that had previously been reported were not replicated in the current cohort. It was further evaluated whether the lack of replication of breast cancer N-glycomic signatures could be partly explained by the heterogenous character of the disease since the studies performed so far were based on cohorts that included diverging subtypes in different numbers. It was found that serum N-glycan profiles differed for the various cancer subtypes that were analyzed in this study.

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Self-perceived Risk of Breast Cancer and Screening Behaviors of First-degree Female Relatives of Breast Cancer Patients at the Uganda Cancer Institute, Uganda

10.21203/rs.3.rs-343329/v1 ◽

2021 ◽

Author(s):

Provia Ainembabazi ◽

Derrick Bary Abila ◽

Grace Manyangwa ◽

Godwin Anguzu ◽

Innocent Mutyaba ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Screening ◽

Early Detection ◽

Cancer Patients ◽

Breast Cancer Screening ◽

Perceived Risk ◽

Breast Cancer Patients ◽

Perceived Risks ◽

First Degree Relatives ◽

Cancer Breast

Abstract Introduction In Uganda, Breast cancer is the most common cancer in females globally. The majority of the patients present with advanced-stage disease at diagnoses and experience high mortality. This underscores the importance of early detection approaches based on awareness of risk factors and self-perceived risks, and symptoms of the disease to promote adoption of risk reduction behaviors and prompt health-seeking respectively. This study assessed the self-perceived risk of breast cancer, and breast cancer screening behaviours among first-degree female relatives of breast cancer patients in Uganda.Methods This was a cross-sectional study employing quantitative approaches for data collection and analyses. First-degree female relatives of patients attending care at Uganda Cancer Institute were recruited consecutively in the study. A pre-tested coded questionnaire was used to collect data on self-perceived risks, breast cancer risks, and breast cancer screening behaviours. Data were collected between March to October 2019. A modified Poisson regression model was used to evaluate factors associated with self-perceived risk of breast cancer and breast cancer risk awareness.ResultsWe enrolled 296 first-degree female relatives from 197 female breast cancer patients. The median age (IQR) was 33 (26-43) years. A majority (60.1%, 178/296) of the participants had a low self-perceived risk of breast cancer. Breast self-examination (55.7%, 165/296) was the most practiced screening method followed by clinical breast examination (n= 64/296, 21.6%), ultrasound scan of the breast (7.8%, 23/296,), and mammogram (3.7%, 11/296). Women aged 35-44 years had a higher self-perceived risk of breast cancer (adjusted Incident Rate Ratio [aIRR]: 1.75, 95%CI: 1.10-2.80), compared to women aged 18-25 years. ConclusionFirst-degree relatives reported a low self-perceived risk of breast cancer. Breast cancer health education especially targeting younger women should emphasize the increased risk of breast cancer in first-degree relatives of patients with breast cancer. There is a need to increase awareness of breast cancer screening methods and their usefulness in the early detection of breast cancer among all women in Uganda.

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Predicting the Level of Tumor-Infiltrating Lymphocytes in Patients With Breast Cancer: Usefulness of Mammographic Radiomics Features

Frontiers in Oncology ◽

10.3389/fonc.2021.628577 ◽

2021 ◽

Vol 11 ◽

Author(s):

Hongwei Yu ◽

Xianqi Meng ◽

Huang Chen ◽

Jian Liu ◽

Wenwen Gao ◽

...

Keyword(s):

Breast Cancer ◽

Logistic Regression ◽

Feature Selection ◽

Regression Analysis ◽

Cancer Patients ◽

Training Dataset ◽

Validation Dataset ◽

Gray Level ◽

Breast Cancer Patients ◽

Short Run

ObjectivesThis study aimed to investigate whether radiomics classifiers from mammography can help predict tumor-infiltrating lymphocyte (TIL) levels in breast cancer.MethodsData from 121 consecutive patients with pathologically-proven breast cancer who underwent preoperative mammography from February 2018 to May 2019 were retrospectively analyzed. Patients were randomly divided into a training dataset (n = 85) and a validation dataset (n = 36). A total of 612 quantitative radiomics features were extracted from mammograms using the Pyradiomics software. Radiomics feature selection and radiomics classifier were generated through recursive feature elimination and logistic regression analysis model. The relationship between radiomics features and TIL levels in breast cancer patients was explored. The predictive capacity of the radiomics classifiers for the TIL levels was investigated through receiver operating characteristic curves in the training and validation groups. A radiomics score (Rad score) was generated using a logistic regression analysis method to compute the training and validation datasets, and combining the Mann–Whitney U test to evaluate the level of TILs in the low and high groups.ResultsAmong the 121 patients, 32 (26.44%) exhibited high TIL levels, and 89 (73.56%) showed low TIL levels. The ER negativity (p = 0.01) and the Ki-67 negative threshold level (p = 0.03) in the low TIL group was higher than that in the high TIL group. Through the radiomics feature selection, six top-class features [Wavelet GLDM low gray-level emphasis (mediolateral oblique, MLO), GLRLM short-run low gray-level emphasis (craniocaudal, CC), LBP2D GLRLM short-run high gray-level emphasis (CC), LBP2D GLDM dependence entropy (MLO), wavelet interquartile range (MLO), and LBP2D median (MLO)] were selected to constitute the radiomics classifiers. The radiomics classifier had an excellent predictive performance for TIL levels both in the training and validation sets [area under the curve (AUC): 0.83, 95% confidence interval (CI), 0.738–0.917, with positive predictive value (PPV) of 0.913; AUC: 0.79, 95% CI, 0.615–0.964, with PPV of 0.889, respectively]. Moreover, the Rad score in the training dataset was higher than that in the validation dataset (p = 0.007 and p = 0.001, respectively).ConclusionRadiomics from digital mammograms not only predicts the TIL levels in breast cancer patients, but can also serve as non-invasive biomarkers in precision medicine, allowing for the development of treatment plans.

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