Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 12428

Special Issue Editor


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Guest Editor
Women’s Health and Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
Interests: breast cancer; human genetics; epidemiology; risk prediction; mammography screening

Special Issue Information

Dear Colleagues,

The call for scientific papers on "Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer" invites researchers to submit papers that focus on identifying and understanding the risk factors associated with breast cancer, improving methods for breast cancer diagnosis, and developing effective treatment strategies. This call highlights the need for innovative approaches in breast cancer research and emphasizes the importance of collaboration across disciplines to advance our understanding of this disease. Accepted papers will contribute to the growing body of knowledge on breast cancer and inform the development of new prevention and treatment options for patients.

Dr. Jingmei Li
Guest Editor

Manuscript Submission Information

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Keywords

  • breast cancer
  • mammography screening
  • prevention biology
  • genomic characterization
  • diagnosis
  • surgery
  • radiotherapy
  • chemotherapy
  • targeted drugs
  • immunotherapy
  • translational research

Published Papers (12 papers)

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Research

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16 pages, 1298 KiB  
Article
Breast Cancer Polygenic Risk Score Validation and Effects of Variable Imputation
by Jeffrey J. Beck, John L. Slunecka, Brandon N. Johnson, Austin J. Van Asselt, Casey T. Finnicum, Cheryl Ageton, Amy Krie, Heidi Nickles, Kenneth Cowan, Jessica Maxwell, Dorret I. Boomsma, Eco de Geus, Erik A. Ehli and Jouke-Jan Hottenga
Cancers 2024, 16(8), 1578; https://doi.org/10.3390/cancers16081578 - 20 Apr 2024
Viewed by 728
Abstract
Breast cancer (BC) is a complex disease affecting one in eight women in the USA. Advances in population genomics have led to the development of polygenic risk scores (PRSs) with the potential to augment current risk models, but replication is often limited. We [...] Read more.
Breast cancer (BC) is a complex disease affecting one in eight women in the USA. Advances in population genomics have led to the development of polygenic risk scores (PRSs) with the potential to augment current risk models, but replication is often limited. We evaluated 2 robust PRSs with 313 and 3820 SNPs and the effects of multiple genotype imputation replications in BC cases and control populations. Biological samples from BC cases and cancer-free controls were drawn from three European ancestry cohorts. Genotyping on the Illumina Global Screening Array was followed by stringent quality control measures and 20 genotype imputation replications. A total of 468 unrelated cases and 4337 controls were scored, revealing significant differences in mean PRS percentiles between cases and controls (p < 0.001) for both SNP sets (313-SNP PRS: 52.81 and 48.07; 3820-SNP PRS: 55.45 and 49.81), with receiver operating characteristic curve analysis showing area under the curve values of 0.596 and 0.603 for the 313-SNP and 3820-SNP PRS, respectively. PRS fluctuations (from ~2–3% up to 9%) emerged across imputation iterations. Our study robustly reaffirms the predictive capacity of PRSs for BC by replicating their performance in an independent BC population and showcases the need to average imputed scores for reliable outcomes. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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16 pages, 1861 KiB  
Article
EMP2 Serves as a Functional Biomarker for Chemotherapy-Resistant Triple-Negative Breast Cancer
by Ann M. Chan, Brian Aguirre, Lucia Liu, Vei Mah, Justin M. Balko, Jessica Tsui, Navin P. Wadehra, Neda A. Moatamed, Mahdi Khoshchehreh, Christen M. Dillard, Meagan Kiyohara, Yahya Elshimali, Helena R. Chang, Diana Marquez-Garban, Nalo Hamilton, Richard J. Pietras, Lynn K. Gordon and Madhuri Wadehra
Cancers 2024, 16(8), 1481; https://doi.org/10.3390/cancers16081481 - 12 Apr 2024
Viewed by 653
Abstract
Breast cancer (BC) remains among the most commonly diagnosed cancers in women worldwide. Triple-negative BC (TNBC) is a subset of BC characterized by aggressive behavior, a high risk of distant recurrence, and poor overall survival rates. Chemotherapy is the backbone for treatment in [...] Read more.
Breast cancer (BC) remains among the most commonly diagnosed cancers in women worldwide. Triple-negative BC (TNBC) is a subset of BC characterized by aggressive behavior, a high risk of distant recurrence, and poor overall survival rates. Chemotherapy is the backbone for treatment in patients with TNBC, but outcomes remain poor compared to other BC subtypes, in part due to the lack of recognized functional targets. In this study, the expression of the tetraspan protein epithelial membrane protein 2 (EMP2) was explored as a predictor of TNBC response to standard chemotherapy. We demonstrate that EMP2 functions as a prognostic biomarker for patients treated with taxane-based chemotherapy, with high expression at both transcriptomic and protein levels following treatment correlating with poor overall survival. Moreover, we show that targeting EMP2 in combination with docetaxel reduces tumor load in syngeneic and xenograft models of TNBC. These results provide support for the prognostic and therapeutic potential of this tetraspan protein, suggesting that anti-EMP2 therapy may be beneficial for the treatment of select chemotherapy-resistant TNBC tumors. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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11 pages, 797 KiB  
Article
Prognostic Value of PCSK9 Levels in Premenopausal Women at Risk of Breast Cancer—Evidence from a 17-Year Follow-Up Study
by Massimiliano Ruscica, Chiara Macchi, Sara Gandini, Debora Macis, Aliana Guerrieri-Gonzaga, Valentina Aristarco, Davide Serrano, Matteo Lazzeroni, Alessandra Stefania Rizzuto, Aurora Gaeta, Alberto Corsini, Marcella Gulisano, Harriet Johansson and Bernardo Bonanni
Cancers 2024, 16(7), 1411; https://doi.org/10.3390/cancers16071411 - 4 Apr 2024
Viewed by 722
Abstract
Background and aim: The involvement of cholesterol in cancer development remains a topic of debate, and its association with breast cancer has yet to be consistently demonstrated. Considering that circulating cholesterol levels depend on several concomitant processes, we tested the liability of plasma [...] Read more.
Background and aim: The involvement of cholesterol in cancer development remains a topic of debate, and its association with breast cancer has yet to be consistently demonstrated. Considering that circulating cholesterol levels depend on several concomitant processes, we tested the liability of plasma levels of proprotein convertase subtilisin/kexin type 9 (PCSK9), one of the key regulators of cholesterol levels, as a prognostic biomarker in the context of breast neoplastic events. Methods: Within a prospective randomized breast cancer prevention trial we measured baseline plasma levels of PCSK9. A total of 235 at-risk premenopausal women were randomized and followed up for 17 years. Participants enrolled in this placebo-controlled, phase II, double-blind trial were randomly assigned to receive either tamoxifen 5 mg/d or fenretinide 200 mg/d, both agents, or placebo for 2 years. The associations with breast cancer events were evaluated through competing risk and Cox regression survival models, adjusted for randomization strata (5-year Gail risk ≥ 1.3% vs. intraepithelial neoplasia or small invasive breast cancer of favorable prognosis), age, and treatment allocation. PCSK9 associations with biomarkers linked to breast cancer risk were assessed on blood samples collected at baseline. Results: The plasmatic PCSK9 median and interquartile range were 207 ng/mL and 170–252 ng/mL, respectively. Over a median follow-up period of 17 years and 89 breast neoplastic events, disease-free survival curves showed a hazard ratio of 1.002 (95% CI: 0.999–1.005, p = 0.22) for women with PCSK9 plasma levels ≥ 207 ng/mL compared to women with levels below 207 ng/mL. No differences between randomization strata were observed. We found a negative correlation between PCSK9 and estradiol (r = −0.305), maintained even after partial adjustment for BMI and age (r = −0.287). Cholesterol (r = 0.266), LDL-C (r = 0.207), non-HDL-C (r = 0.246), remnant cholesterol (r = 0.233), and triglycerides (r = 0.233) also correlated with PCSK9. Conclusions: In premenopausal women at risk of early-stage breast cancer, PCSK9 did not appear to have a role as a prognostic biomarker of breast neoplastic events. Larger studies are warranted investigating patients in different settings. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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20 pages, 7358 KiB  
Article
A Retrospective View of the Triple-Negative Breast Cancer Microenvironment: Novel Markers, Interactions, and Mechanisms of Tumor-Associated Components Using Public Single-Cell RNA-Seq Datasets
by Minsoo Kim, Wonhee Yang, Dawon Hong, Hye Sung Won and Seokhyun Yoon
Cancers 2024, 16(6), 1173; https://doi.org/10.3390/cancers16061173 - 16 Mar 2024
Viewed by 1082
Abstract
Triple-negative breast cancer (TNBC) is a significant clinical challenge due to its aggressive nature and limited treatment options. In search of new treatment targets, not only single genes but also gene pairs involved in protein interactions, we explored the tumor microenvironment (TME) of [...] Read more.
Triple-negative breast cancer (TNBC) is a significant clinical challenge due to its aggressive nature and limited treatment options. In search of new treatment targets, not only single genes but also gene pairs involved in protein interactions, we explored the tumor microenvironment (TME) of TNBC from a retrospective point of view, using public single-cell RNA sequencing datasets. A High-resolution Cell type Annotation Tool, HiCAT, was used first to identify the cell type in 3-level taxonomies. Tumor cells were then identified based on the estimates of copy number variation. With the annotation results, differentially expressed genes were analyzed to find subtype-specific markers for each cell type, including tumor cells, fibroblast, and macrophage. Cell–cell interactions were also inferred for each cell type pair. Through integrative analysis, we could find unique TNBC markers not only for tumor cells but also for various TME components, including fibroblasts and macrophages. Specifically, twelve marker genes, including DSC2 and CDKN2A, were identified for TNBC tumor cells. Another key finding of our study was the interaction between the DSC2 and DSG2 genes among TNBC tumor cells, suggesting that they are more tightly aggregated with each other than those of other subtypes, including normal epithelial cells. The overexpression of DSC2 in TNBC and its prognostic power were verified by using METABRIC, a large bulk RNA-seq dataset with clinical information. These findings not only corroborate previous hypotheses but also lay the foundation for a new structural understanding of TNBC, as revealed through our single-cell analysis workflow. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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11 pages, 268 KiB  
Article
Prevalence and Distribution of MUTYH Pathogenic Variants, Is There a Relation with an Increased Risk of Breast Cancer?
by Jesús Peña-López, Diego Jiménez-Bou, Icíar Ruíz-Gutiérrez, Gema Martín-Montalvo, María Alameda-Guijarro, Antonio Rueda-Lara, Leticia Ruíz-Giménez, Oliver Higuera-Gómez, Alejandro Gallego, Ana Pertejo-Fernández, Darío Sánchez-Cabrero, Jaime Feliu and Nuria Rodríguez-Salas
Cancers 2024, 16(2), 315; https://doi.org/10.3390/cancers16020315 - 11 Jan 2024
Viewed by 1124
Abstract
Background: MUTYH has been implicated in hereditary colonic polyposis and colorectal carcinoma. However, there are conflicting data refgarding its relationship to hereditary breast cancer. Therefore, we aimed to assess if MUTYH mutations contribute to breast cancer susceptibility. Methods: We retrospectively reviewed 3598 patients [...] Read more.
Background: MUTYH has been implicated in hereditary colonic polyposis and colorectal carcinoma. However, there are conflicting data refgarding its relationship to hereditary breast cancer. Therefore, we aimed to assess if MUTYH mutations contribute to breast cancer susceptibility. Methods: We retrospectively reviewed 3598 patients evaluated from June 2018 to June 2023 at the Hereditary Cancer Unit of La Paz University Hospital, focusing on those with detected MUTYH variants. Results: Variants of MUTYH were detected in 56 patients (1.6%, 95%CI: 1.2–2.0). Of the 766 patients with breast cancer, 14 patients were carriers of MUTYH mutations (1.8%, 95%CI: 0.5–3.0). The prevalence of MUTYH mutation was significantly higher in the subpopulation with colonic polyposis (11.3% vs. 1.1%, p < 0.00001, OR = 11.2, 95%CI: 6.2–22.3). However, there was no significant difference in the prevalence within the subpopulation with breast cancer (1.8% vs. 1.5%, p = 0.49, OR = 1.2, 95%CI: 0.7–2.3). Conclusion: In our population, we could not establish a relationship between MUTYH and breast cancer. These findings highlight the necessity for a careful interpretation when assessing the role of MUTYH mutations in breast cancer risk. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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15 pages, 7802 KiB  
Article
A Comparison of 3D Conformal and Deep Inspiratory Breath Holding vs. 4D-CT Intensity-Modulated Radiation Therapy for Patients with Left Breast Cancer
by Moustafa Aldaly, Azza Hussien, Inas Mohsen El-nadi, Nabila Ibrahim Laz, Amira S. A. Said, Mohammad M. Al-Ahmad, Raghda R. S. Hussein, Al Shaimaa Ibrahim Rabie and Ahmed Hassan Shaaban
Cancers 2023, 15(24), 5799; https://doi.org/10.3390/cancers15245799 - 11 Dec 2023
Viewed by 1134
Abstract
Background: Multimodality is required for the treatment of breast cancer. Surgery, radiation (RT), and systemic therapy were traditionally used. Pharmacotherapy includes different drug mechanisms, such as chemotherapy, hormone therapy, and targeted therapies, alone or in combination with radiotherapy. While radiation offers numerous benefits, [...] Read more.
Background: Multimodality is required for the treatment of breast cancer. Surgery, radiation (RT), and systemic therapy were traditionally used. Pharmacotherapy includes different drug mechanisms, such as chemotherapy, hormone therapy, and targeted therapies, alone or in combination with radiotherapy. While radiation offers numerous benefits, it also has certain harmful risks. such as cardiac and pulmonary toxicity, lymphedema, and secondary cancer. Modern radiation techniques have been developed to reduce organs at risk (OAR) doses. Materials and Methods: This study is a prospective feasibility trial conducted at the Fayium Oncology Center on patients with left breast cancer receiving adjuvant locoregional radiotherapy after either breast conservative surgery (BCS) or modified radical mastectomy (MRM). This study aimed to assess the proportion of patients who are fit both physically and intellectually to undergo breast radiotherapy using the deep inspiratory breath-holding (DIBH) technique, comparing different dosimetric outcomes between the 3D dimensional conformal with DIBH and 4D-CT IMRT plans of the same patient. Results: D95 of the clinical target volume (CTV) of the target is significantly higher in the 3D DIBH plan than in the IMRT plan, with an average of 90.812% vs. 86.944%. The dosimetry of the mean heart dose (MHD) in the 4D-CT IMRT plan was significantly lower than in the 3D conformal with the DIBH plan (2.6224 vs. 4.056 Gy, p < 0.0064), and no significant difference between the two plans regarding mean left anterior descending artery (LAD) (14.696 vs. 13.492 Gy, p < 0.58), maximum LAD (39.9 vs. 43.5 Gy, p < 0.35), and V20 of the ipsilateral lung (18.66% vs. 16.306%, p < 0.88) was observed. Internal mammary chain (IMC) irradiation was better in the 4D-CT IMRT plan. Conclusions: Radiotherapy of the breast and chest wall with the 4D-CT IMRT technique appears not to be inferior to the 3D conformal with the DIBH technique and can be used as an alternative to the 3D conformal with the DIBH technique in patients meeting the exclusion criteria for performing the DIBH maneuver concerning coverage to target volumes or unacceptably high doses to OAR. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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19 pages, 16597 KiB  
Article
Practical Challenges of DBT-Guided VABB: Harms and Benefits, from Literature to Clinical Experience
by Daniele Ugo Tari, Davide Raffaele De Lucia, Marika Santarsiere, Rosalinda Santonastaso and Fabio Pinto
Cancers 2023, 15(24), 5720; https://doi.org/10.3390/cancers15245720 - 6 Dec 2023
Cited by 1 | Viewed by 1014
Abstract
Vacuum-assisted breast biopsy (VABB) guided by digital breast tomosynthesis (DBT) represents one of the best instruments to obtain a histological diagnosis of suspicious lesions with no ultrasound correlation or those which are visible only on DBT. After a review of the literature, we [...] Read more.
Vacuum-assisted breast biopsy (VABB) guided by digital breast tomosynthesis (DBT) represents one of the best instruments to obtain a histological diagnosis of suspicious lesions with no ultrasound correlation or those which are visible only on DBT. After a review of the literature, we retrospectively analyzed the DBT-guided VABBs performed from 2019 to 2022 at our department. Descriptive statistics, Pearson’s correlation and χ2 test were used to compare distributions of age, breast density (BD) and early performance measures including histopathology. We used kappa statistics to evaluate the agreement between histological assessment and diagnosis. Finally, we compared our experience to the literature to provide indications for clinical practice. We included 85 women aged 41–84 years old. We identified 37 breast cancers (BC), 26 stage 0 and 11 stage IA. 67.5% of BC was diagnosed in women with high BD. The agreement between VABB and surgery was 0.92 (k value, 95% CI: 0.76–1.08). We found a statistically significant inverse correlation between age and BD. The post-procedural clip was correctly positioned in 88.2%. The post-procedural hematoma rate was 14.1%. No infection or hemorrhage were recorded. When executed correctly, DBT-guided VABB represents a safe and minimally invasive technique with high histopathological concordance, for detecting nonpalpable lesions without ultrasound correlation. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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16 pages, 1320 KiB  
Article
Negative Survival Impact of Occult Lymph Node Involvement in Small HER2-Positive Early Breast Cancer Treated by Up-Front Surgery
by Gilles Houvenaeghel, Monique Cohen, Marc Martino, Fabien Reyal, Jean-Marc Classe, Marie-Pierre Chauvet, Pierre-Emmanuel Colombo, Mellie Heinemann, Eva Jouve, Pierre Gimbergues, Anne-Sophie Azuar, Charles Coutant, Anthony Gonçalves and Alexandre de Nonneville
Cancers 2023, 15(18), 4567; https://doi.org/10.3390/cancers15184567 - 14 Sep 2023
Viewed by 1084
Abstract
(1) Background: The independent negative prognostic value of isolated tumor cells or micro-metastases in axillary lymph nodes has been established in triple-negative breast cancers (BC). However, the prognostic significance of pN0(i+) or pN1mi in HER2-positive BCs treated by primary surgery remains unexplored. Therefore, [...] Read more.
(1) Background: The independent negative prognostic value of isolated tumor cells or micro-metastases in axillary lymph nodes has been established in triple-negative breast cancers (BC). However, the prognostic significance of pN0(i+) or pN1mi in HER2-positive BCs treated by primary surgery remains unexplored. Therefore, our objective was to investigate the impact of pN0(i+) or pN1mi in HER2-positive BC patients undergoing up-front surgery on their outcomes. (2) Methods: We retrospectively analyzed 23,650 patients treated in 13 French cancer centers from 1991 to 2013. pN status was categorized as pN0, pN0(i+), pN1mi, and pNmacro. The effect of pN0(i+) or pN1mi on outcomes was investigated both in the entire cohort of patients and in pT1a-b tumors. (3) Results: Of 1771 HER2-positive BC patients included, pN status distributed as follows: 1047 pN0 (59.1%), 60 pN0(i+) (3.4%), 118 pN1mi (6.7%), and 546 pN1 macro-metastases (30.8%). pN status was significantly associated with sentinel lymph node biopsy, axillary lymph node dissection, age, ER status, tumor grade, and size, lymphovascular invasion, adjuvant systemic therapy (ACt), and radiation therapy. With 61 months median follow-up (mean 63.2; CI 95% 61.5–64.9), only pN1 with macro-metastases was independently associated with a negative impact on overall, disease-free, recurrence-free, and metastasis-free survivals in multivariate analysis. In the pT1a-b subgroup including 474 patients, RFS was significantly decreased in multivariate analysis for pT1b BC without ACt (HR 2.365, 1.04–5.36, p = 0.039) and for pN0(i+)/pN1mi patients (HR 2.518, 1.03–6.14, p = 0.042). (4) Conclusions: Survival outcomes were not adversely affected by pN0(i+) and pN1mi in patients with HER2-positive BC. However, in the case of pT1a-b HER2-positive BC, a negative impact on RFS was observed specifically for patients with pN0(i+) and pN1mi diseases, particularly among those with pT1b tumors without ACt. Our findings highlight the importance of considering the pN0(i+) and pN1mi status in the decision-making process when discussing trastuzumab-based ACt for these patients. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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17 pages, 1198 KiB  
Article
Proteomic Profile Distinguishes New Subpopulations of Breast Cancer Patients with Different Survival Outcomes
by Joanna Tobiasz and Joanna Polanska
Cancers 2023, 15(17), 4230; https://doi.org/10.3390/cancers15174230 - 24 Aug 2023
Viewed by 978
Abstract
As a highly heterogeneous disease, breast cancer (BRCA) demonstrates a diverse molecular portrait. The well-established molecular classification (PAM50) relies on gene expression profiling. It insufficiently explains the observed clinical and histopathological diversity of BRCAs. This study aims to demographically and clinically characterize the [...] Read more.
As a highly heterogeneous disease, breast cancer (BRCA) demonstrates a diverse molecular portrait. The well-established molecular classification (PAM50) relies on gene expression profiling. It insufficiently explains the observed clinical and histopathological diversity of BRCAs. This study aims to demographically and clinically characterize the six BRCA subpopulations (basal, HER2-enriched, and four luminal ones) revealed by their proteomic portraits. GMM-based high variate protein selection combined with PCA/UMAP was used for dimensionality reduction, while the k-means algorithm allowed patient clustering. The statistical analysis (log-rank and Gehan–Wilcoxon tests, hazard ratio HR as the effect size ES) showed significant differences across identified subpopulations in Disease-Specific Survival (p = 0.0160) and Progression-Free Interval (p = 0.0264). Luminal subpopulations vary in prognosis (Disease-Free Interval, p = 0.0277). The A2 subpopulation is of the poorest, comparable to the HER2-enriched subpopulation, prognoses (HR = 1.748, referenced to Luminal B, small ES), while A3 is of the best (HR = 0.250, large ES). Similar to PAM50 subtypes, no substantial dependency on demographic and clinical factors was detected across Luminal subpopulations, as measured by χ2 test and Cramér’s V for ES, and ANOVA with appropriate post hocs combined with η2 or Cohen’s d-type ES, respectively. Progesterone receptors can serve as the potential A2 biomarker within Luminal patients. Further investigation of molecular differences is required to examine the potential prognostic or clinical applications. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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18 pages, 1973 KiB  
Article
How Asian Breast Cancer Patients Experience Unequal Incidence of Chemotherapy Side Effects: A Look at Ethnic Disparities in Febrile Neutropenia Rates
by Zi Lin Lim, Peh Joo Ho, Mikael Hartman, Ern Yu Tan, Nur Khaliesah Binte Mohamed Riza, Elaine Hsuen Lim, Phyu Nitar, Joint Breast Cancer Registry (JBCR), Fuh Yong Wong and Jingmei Li
Cancers 2023, 15(14), 3590; https://doi.org/10.3390/cancers15143590 - 12 Jul 2023
Viewed by 1468
Abstract
The majority of published findings on chemotherapy-induced febrile neutropenia (FN) are restricted to three ethnic groups: Asians, Caucasians, and African Americans. In this two-part study, we examined FN incidence and risk factors in Chinese, Malay, and Indian chemotherapy-treated breast cancer (BC) patients. Hospital [...] Read more.
The majority of published findings on chemotherapy-induced febrile neutropenia (FN) are restricted to three ethnic groups: Asians, Caucasians, and African Americans. In this two-part study, we examined FN incidence and risk factors in Chinese, Malay, and Indian chemotherapy-treated breast cancer (BC) patients. Hospital records or ICD codes were used to identify patients with FN. In both the Singapore Breast Cancer Cohort (SGBCC) and the Joint Breast Cancer Registry (JBCR), the time of the first FN from the start of chemotherapy was estimated using Cox regression. Multinomial regression was used to evaluate differences in various characteristics across ethnicities. FN was observed in 170 of 1014 patients in SGBCC. The Cox model showed that non-Chinese were at higher risk of developing FN (HRMalay [95% CI]:2.04 [1.44–2.88], p < 0.001; HRIndian:1.88 [1.11–3.18], p = 0.018). In JBCR, FN was observed in 965 of 7449 patients. Univariable Cox models identified ethnicity, a lower baseline absolute neutrophil count, non-luminal A proxy subtypes, and anthracycline-containing regimens as risk factors. Disparities across ethnicities’ risk (HRMalay:1.29 [1.07–1.54], p = 0.006; HRIndian:1.50 [1.19–1.88], p < 0.001) remained significant even after further adjustments. Finally, an age-adjusted multinomial model showed that Malays (p = 0.006) and Indians (p = 0.009) were significantly more likely to develop multiple episodes of FN during treatment. Ethnic differences in chemotherapy-induced FN among BC patients exist. Further studies can focus on investigating pharmacogenetic differences across ethnicities. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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Review

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28 pages, 875 KiB  
Review
Targeting Pivotal Hallmarks of Cancer for Enhanced Therapeutic Strategies in Triple-Negative Breast Cancer Treatment—In Vitro, In Vivo and Clinical Trials Literature Review
by Anna Szulc and Marta Woźniak
Cancers 2024, 16(8), 1483; https://doi.org/10.3390/cancers16081483 - 12 Apr 2024
Viewed by 723
Abstract
This literature review provides a comprehensive overview of triple-negative breast cancer (TNBC) and explores innovative targeted therapies focused on specific hallmarks of cancer cells, aiming to revolutionize breast cancer treatment. TNBC, characterized by its lack of expression of estrogen receptor (ER), progesterone receptor [...] Read more.
This literature review provides a comprehensive overview of triple-negative breast cancer (TNBC) and explores innovative targeted therapies focused on specific hallmarks of cancer cells, aiming to revolutionize breast cancer treatment. TNBC, characterized by its lack of expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), presents distinct features, categorizing these invasive breast tumors into various phenotypes delineated by key elements in molecular assays. This article delves into the latest advancements in therapeutic strategies targeting components of the tumor microenvironment and pivotal hallmarks of cancer: deregulating cellular metabolism and the Warburg effect, acidosis and hypoxia, the ability to metastasize and evade the immune system, aiming to enhance treatment efficacy while mitigating systemic toxicity. Insights from in vitro and in vivo studies and clinical trials underscore the promising effectiveness and elucidate the mechanisms of action of these novel therapeutic interventions for TNBC, particularly in cases refractory to conventional treatments. The integration of targeted therapies tailored to the molecular characteristics of TNBC holds significant potential for optimizing clinical outcomes and addressing the pressing need for more effective treatment options for this aggressive subtype of breast cancer. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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16 pages, 606 KiB  
Review
Patient Preferences in Metastatic Breast Cancer Care: A Scoping Review
by Kelcey A. Bland, Reem Mustafa and Helen McTaggart-Cowan
Cancers 2023, 15(17), 4331; https://doi.org/10.3390/cancers15174331 - 30 Aug 2023
Viewed by 1168
Abstract
People with metastatic breast cancer (MBC) have diverse medical, physical, and psychosocial needs that require multidimensional care. Understanding patient preferences is crucial to tailor treatments, services, and foster patient-centered care. A scoping review was performed to summarize the current evidence on the preferences [...] Read more.
People with metastatic breast cancer (MBC) have diverse medical, physical, and psychosocial needs that require multidimensional care. Understanding patient preferences is crucial to tailor treatments, services, and foster patient-centered care. A scoping review was performed to summarize the current evidence on the preferences of people with MBC regarding their care to identify knowledge gaps and key areas for future research. The Embase, MEDLINE, CINAHL and PsycInfo databases were searched. Twenty studies enrolling 3354 patients met the study eligibility criteria. Thirteen quantitative studies, four mixed methods studies, and three qualitative studies were included. Seven studies captured healthcare provider perspectives; thirteen studies evaluated patient preferences relating specifically to cancer treatments; three studies evaluated preferences relating to supportive care; and four studies evaluated communication and decision-making preferences. The current literature evaluating MBC patient preferences is heterogeneous with a focus on cancer treatments. Future research should explore patient preferences relating to multidisciplinary, multi-modal care that aims to improve quality of life. Understanding MBC patient preferences regarding their comprehensive care can help tailor healthcare delivery, enhance the patient experience, and improve outcomes. Full article
(This article belongs to the Special Issue Risk Factor Prediction, Diagnosis and Treatment of Breast Cancer)
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