Viral warts (Human Papilloma Virus) as a potential risk for breast cancer among younger females

Human papillomaviruses and breast cancer: A systematic review and meta‑analysis

Breast cancer (BC) is the leading malignancy worldwide. The association between human papillomavirus (HPV) and BC is debatable. The present systematic review and meta-analysis aimed to assess the prevalence of HPV DNA in malignant breast tumors. An extensive search of the PubMed and SCOPUS databases was carried out for case-control studies published between January 1, 2003 and January 7, 2023, which compared HPV DNA detection in breast tissue specimens of female patients with BC and women with absent or benign breast disorders. Once the initial title/abstract screening was completed by two independent investigators, the full texts of the included studies from that stage were reviewed by the aforementioned investigators to determine if they should be included in the present study. Data extraction was independently conducted by two investigators. A third investigator was consulted to resolve disagreements through free discussion. MedCalc was used for quantitative synthesis. The significance of association was estimated by pooled odds ratios (ORs) with 95% confidence intervals (CIs) calculated using the random-effects model. A total of 23 primary studies, including 3,243 subjects (2,027 patients and 1,216 controls), were eligible for quantitative analysis. HPV prevalence in patients with BC and controls was 21.95 and 8.96%, respectively. The prevalence of HPV differed significantly between the two groups (OR 3.83; 95% CI 2.03-7.25; P<0.01). Heterogeneity among studies was quantified using the I2 index which was 69.57% (95% CI 51.89-80.75). The risk of bias was assessed using an appropriate tool contributed by the CLARITY Group at McMaster University. Seven studies had a low risk of bias, 15 studies had a moderate risk of bias and only one study had a serious risk of bias. These results reinforce the hypothesis that HPV is involved in BC development and progression, indicating a possible role of HPV vaccination in BC prevention.

HPV-Associated Breast Cancer: Myth or Fact?

Some estimates place the proportion of human malignancies attributable to viruses at between 15 and 20 percent. Viruses including the human papillomavirus are considered an interesting but controversial etiological risk factor for breast cancer. HPV infection is anticipated to be an early trigger in breast cancer carcinogenesis, followed by cumulative alterations over time ("hit and run" mechanism) through synergy with other environmental factors. The association between HPV and breast cancer has not yet been verified. There are very conflicting data on the presence of HPV DNA in breast cancer samples, and we lack a clarified, exact mode of HPV transmission to the breast. In our review article we analyzed the up-to-date knowledge about the association of HPV and breast cancer. Furthermore, we summarized the available original research published since 2010. In conclusion, the complexity and inconsistency of the available results together with the relatively low prevalence of HPV infection requires extensive research with much larger studies and exact and unified diagnostic methods are required to better understand the role of the HPV in breast carcinogenesis.

Presence of Human Papillomavirus DNA in Malignant Neoplasia and Non-Malignant Breast Disease

Breast cancer is the leading cause of cancer death among women worldwide. Multiple extrinsic and intrinsic factors are associated with this disease’s development. Various research groups worldwide have reported the presence of human papillomavirus (HPV) DNA in samples of malignant breast tumors. Although its role in mammary carcinogenesis is not fully understood, it is known that the HPV genome, once inserted into host cells, has oncogenic capabilities. The present study aimed to detect the presence of HPV DNA in 116 breast tissue biopsies and classify them according to their histology. It was found that 50.9% of the breast biopsies analyzed were malignant neoplasms, of which 74.6% were histologically classified as infiltrating ductal carcinoma. In biopsies with non-malignant breast disease, fibroadenoma was the most common benign neoplasm (39.1%). Detection of HPV DNA was performed through nested PCR using the external primer MY09/11 and the internal primer GP5+/6+. A hybridization assay genotyped HPV. HPV DNA was identified in 20.3% (12/59) of malignant neoplasms and 35% non-malignant breast disease (16/46). It was also detected in 27.3% (3/11) of breast tissue biopsies without alteration. However, there are no statistically significant differences between these groups and the existence of HPV DNA (p = 0.2521). Its presence was more frequent in non-malignant alterations than in malignant neoplasias. The most frequent genotypes in the HPV-positive samples were low-risk (LR) HPV-42 followed by high-risk (HR) HPV-31.

Association of human papillomavirus with breast cancer: a new perspective on an old debate

Breast cancer is a common cancer in the female population. Despite remarkable progress in the treatment of this cancer, its exact etiology is still unknown. Since the first evidence of an association between breast cancer and human papillomavirus (HPV) was provided in 1992, numerous studies have explored this subject but have reached contradictory results. In this review, the authors examine the existing evidence and hypotheses regarding the pathways whereby HPV infection can reach breast cells and the mediators linking HPV oncoproteins to breast cancer pathogenesis. Furthermore, the authors discuss contradictory findings regarding the association of HPV with breast cancer. Showing the link between HPV infection and increased genomic instability, reduced apoptosis, immune system dysfunction and progression of metastasis, the reviewed findings highlight the importance of active presence or history of HPV infection as a prognostic factor for breast tumor development.

DeepDRG: Performance of Artificial Intelligence Model for Real-Time Prediction of Diagnosis-Related Groups

Nowadays, the use of diagnosis-related groups (DRGs) has been increased to claim reimbursement for inpatient care. The overall benefits of using DRGs depend upon the accuracy of clinical coding to obtain reasonable reimbursement. However, the selection of appropriate codes is always challenging and requires professional expertise. The rate of incorrect DRGs is always high due to the heavy workload, poor quality of documentation, and lack of computer assistance. We therefore developed deep learning (DL) models to predict the primary diagnosis for appropriate reimbursement and improving hospital performance. A dataset consisting of 81,486 patients with 128,105 episodes was used for model training and testing. Patients' age, sex, drugs, diseases, laboratory tests, procedures, and operation history were used as inputs to our multiclass prediction model. Gated recurrent unit (GRU) and artificial neural network (ANN) models were developed to predict 200 primary diagnoses. The performance of the DL models was measured by the area under the receiver operating curve, precision, recall, and F1 score. Of the two DL models, the GRU method, had the best performance in predicting the primary diagnosis (AUC: 0.99, precision: 83.2%, and recall: 66.0%). However, the performance of ANN model for DRGs prediction achieved AUC of 0.99 with a precision of 0.82 and recall of 0.57. The findings of our study show that DL algorithms, especially GRU, can be used to develop DRGs prediction models for identifying primary diagnosis accurately. DeepDRGs would help to claim appropriate financial incentives, enable proper utilization of medical resources, and improve hospital performance.

Deep into Laboratory: An Artificial Intelligence Approach to Recommend Laboratory Tests

Laboratory tests are performed to make effective clinical decisions. However, inappropriate laboratory test ordering hampers patient care and increases financial burden for healthcare. An automated laboratory test recommendation system can provide rapid and appropriate test selection, potentially improving the workflow to help physicians spend more time treating patients. The main objective of this study was to develop a deep learning-based automated system to recommend appropriate laboratory tests. A retrospective data collection was performed at the National Health Insurance database between 1 January 2013, and 31 December 2013. We included all prescriptions that had at least one laboratory test. A total of 1,463,837 prescriptions from 530,050 unique patients was included in our study. Of these patients, 296,541 were women (55.95%), the range of age was between 1 and 107 years. The deep learning (DL) model achieved a higher area under the receiver operating characteristics curve (AUROC micro = 0.98, and AUROC macro = 0.94). The findings of this study show that the DL model can accurately and efficiently identify laboratory tests. This model can be integrated into existing workflows to reduce under- and over-utilization problems.

Human Papillomavirus (HPV) Detection by Chromogenic In Situ Hybridization (CISH) and p16 Immunohistochemistry (IHC) in Breast Intraductal Papilloma and Breast Carcinoma

PURPOSE

This study explored human papillomavirus (HPV) amplification in breast benign and malignant lesions by chromogenic in situ hybridization (CISH) and the concordance of p16 expression by immunohistochemistry.

PATIENTS AND METHODS

The presence of HPV6/11 and HPV16/18 in 33 cases of intraductal papilloma, 34 cases of ductal carcinoma in situ (DCIS), and 56 cases of invasive breast carcinoma (IBC) was evaluated using matched-background breast parenchyma and breast reduction as control groups. Association with clinicopathologic factors including prognosis was assessed.

RESULTS

HPV 6/11 was observed in 0 cases (0%) of breast reduction, one case (3%) of intraductal papilloma, 11 cases (32.4%) of DCIS, and eight cases (14.3%) of IBC. HPV 16/18 was detected in three cases of (9.1%) breast reduction, six cases (18.8%) of intraductal papillomas, 14 cases (41.2%) of DCIS, and 25 cases (44.6%) of IBC. There was no difference in the HPV status between intraductal papilloma and breast reduction. HPV amplification in intraductal papilloma did not associate with developing atypia or carcinoma after long-term follow-up. However, HPV 6/11 and HPV 16/18 amplification was significantly higher in both DCIS and IBC when compared with breast reduction (P < .05). Compared with background breast parenchyma, HPV 16/18 amplification was significantly higher in both DCIS and IBC (P = .003 and P = .013, respectively). No correlation between p16 immunohistochemical staining and either of the HPV CISH testing was found (P > .05).

CONCLUSION

HPV infection was detected in both breast lesions and background parenchyma. HPV infection may play a role in the pathogenesis of breast cancer but is not associated with intraductal papilloma. Immunohistochemical stain for p16 is not a good surrogate marker for HPV infection in breast lesions.

Low Prevalence of Human Papilloma Virus in Patients with Breast Cancer, Kerman; Iran

Breast cancer is the first of the most important causes of the deaths of women in the world and in Iran. There are various causes and causes of this cancer, one of which has recently been described as a cause of breast cancer, is the human papillomavirus (HPV). The HPV is transmitted through sexual contact and skin lesions. There are more than 100 types of HPV that can influence different parts of the body. Some types of HPV can cause cancer (such as cervical or anal cancer) and others can cause warts (such as genital or plantar warts). To study the risk of HPV infection in Breast Cancer, we managed a Case-Control study in Kerman, southeast of Iran. For this purpose, 98 paraffin blocks of breast cancer and 40 paraffin blocks of fibrocystic as a control were tested for the presence of HPV DNA using Real-Time PCR, and HPV typing was done using INNo-Lippa assay. HPV DNA was detected in 8 out of 98 patients (8.2%), while it was not detected in the control group samples. HPV types 16, 18 were the most common (62.5%) types in positive samples. The prevalence of HPV in patients with breast cancer of Iran is very low and less than other regions of the world, it seems that maybe rout of transmission of HPV in Iran is under control. No one knows exactly why breast cancer occurs. The environment, hormones, Viruses, or your lifestyle could all play a role in the development of breast cancer. Currently, Vaccination is the best way to prevent cancer that’s due to HPV. However, additional studies on the larger group of patients are needed to explain the roles of HPV in Breast cancer.

Association of breast cancer with human papillomavirus (HPV) infection in Northeast Brazil: molecular evidence

OBJECTIVE

The aim of this study is to investigate the presence of human papillomavirus DNA and genotypes in breast cancer and normal breast tissue samples obtained from women from the northeast region of Brazil.

METHOD

One hundred three breast cancer samples and 95 normal breast samples, as the non-malignant controls, were studied. DNA extraction was verified by human beta-globin gene amplification, and polymerase chain reaction was conducted based on HPV L1-specific consensus primers MY09/MY11 and GP5+/GP6+, followed by nested multiplex polymerase chain reaction with type-specific primers for the E6/E7 consensus region.

RESULTS

Human papillomavirus DNA was detected in 51 (49.5%) breast carcinoma samples and 15 (15.8%) normal breast samples (p<0.0001). Human papillomavirus genotypes 6 and 11 were identified in 15.2% of all samples.

CONCLUSIONS

The high frequency of human papillomavirus infection in breast cancer samples indicates a potential role of this virus in breast carcinogenesis in the studied participants.

HPV infection and breast cancer. Results of a microarray approach

OBJECTIVES

Human papilloma virus (HPV) has been implicated in several types of epithelial cancer. The role of HPV in breast carcinogenesis has been a matter of debate fueled by conflicting reports in recent years. The aim of this study is to identify the prevalence of breast and cervical HPV infection in cancer patients by using a modern microarray approach.

MATERIALS AND METHODS

In the present prospective study, 201 breast cancer patients were included. For each patient a detailed medical history was taken and during the operation, under sterile conditions, samples were collected, from the tumour, the healthy adjacent breast tissue and any positive sentinel lymph nodes. In addition, for each patient a cervical sample was also collected. All samples were analysed for DNA of 24 types of HPV using a microarray technique.

RESULTS

Despite the high sensitivity of the technique used, no HPV DNA was identified in any of the breast or lymph node samples. Our analysis showed that patients with HPV positive cervical samples (28 cases) were more likely to have tumors with positive progesterone receptors (p=0.041) and were also more likely to have two or three positive lymph nodes (p=0.002).

CONCLUSION

In the present study, a combination of careful sample collection and a very sensitive microarray approach showed no correlation between HPV and breast cancer. However some characteristics of the breast tumors were different among patients with HPV DNA in their cervical samples.

Oncogenic Viruses and Breast Cancer: Mouse Mammary Tumor Virus (MMTV), Bovine Leukemia Virus (BLV), Human Papilloma Virus (HPV), and Epstein-Barr Virus (EBV)

Background

Although the risk factors for breast cancer are well established, namely female gender, early menarche and late menopause plus the protective influence of early pregnancy, the underlying causes of breast cancer remain unknown. The development of substantial recent evidence indicates that a handful of viruses may have a role in breast cancer. These viruses are mouse mammary tumor virus (MMTV), bovine leukemia virus (BLV), human papilloma viruses (HPVs), and Epstein–Barr virus (EBV-also known as human herpes virus type 4). Each of these viruses has documented oncogenic potential. The aim of this review is to inform the scientific and general community about this recent evidence.

The evidence

MMTV and human breast cancer—the evidence is detailed and comprehensive but cannot be regarded as conclusive. BLV and human breast cancer—the evidence is limited. However, in view of the emerging information about BLV in human breast cancer, it is prudent to encourage the elimination of BLV in cattle, particularly in the dairy industry. HPVs and breast cancer—the evidence is substantial but not conclusive. The availability of effective preventive vaccines is a major advantage and their use should be encouraged. EBV and breast cancer—the evidence is also substantial but not conclusive. Currently, there are no practical means of either prevention or treatment. Although there is evidence of genetic predisposition, and cancer in general is a culmination of events, there is no evidence that inherited genetic traits are causal.

Conclusion

The influence of oncogenic viruses is currently the major plausible hypothesis for a direct cause of human breast cancer.

Knowledge and Perceptions of Common Breast Cancer Risk Factors in Northern Saudi Arabia

Background: Breast cancer is the second leading cause of cancer death in women around the world. The degree of adoption of a preventive lifestyle offers valuable information for planning appropriate intervention programs for improving women’s health. The objective of the present study was to assess the levels of breast cancer related knowledge among a Northern Saudi population. Methodology: In this cross sectional study, data were obtained from 566 Saudi volunteers living in the city of Hail, the Kingdom of Saudi Arabia (KSA). Results: With regard to breast cancer risk factors, 427/566 (75.4%) of participants answered in the affirmative to whether breast cancer could be inherited. For early puberty and late menopause, 209/566 (37%) were in agreement with increased risk, for low and delayed child birth, 261/566 (46%), and for overweight and obesity, 210/566(37%). For the question of whether natural breast feeding can reduce the risk of breast cancer, only 35/566 (6.2%) said yes. Conclusion: There is a general lack of knowledge regarding several BC risk factors among the northern Saudi community which necessitates urgent implementation of educational programs.