JIN-HO CHOI, JOO DONG PARK, SEUNG HEE CHOI, EUN-SU KO, HYE JUNG JANG, KYUNG-SOON PARK^*

Oncology Research, Vol.32, No.1, pp. 127-138, 2024, DOI:10.32604/or.2023.042945

Abstract Purpose: Cancer cell metastasis is a multistep process, and the mechanism underlying extravasation remains unclear. ELK3 is a transcription factor that plays a crucial role in regulating various cellular processes, including cancer metastasis. Based on the finding that ELK3 promotes the metastasis of triple-negative breast cancer (TNBC), we investigated whether ELK3 regulates the extravasation of TNBC by forming the ELK3-ID4 axis. ID4 functions as a transcriptional regulator that interacts with other transcription factors, inhibiting their activity and subsequently influencing various biological processes associated with cell differentiation, survival, growth, and metastasis. Methods: We assessed the correlation between the expression of ELK3… More > Graphic Abstract

Nure Alam Chowdhury¹, Lulu Wang^2,*, Md Shazzadul Islam³, Linxia Gu¹, Mehmet Kaya^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1301-1322, 2024, DOI:10.32604/cmes.2023.030844

Abstract This study designs a microstrip patch antenna with an inverted T-type notch in the partial ground to detect tumor cells inside the human breast. The size of the current antenna is small enough (18 mm × 21 mm × 1.6 mm) to distribute around the breast phantom. The operating frequency has been observed from 6–14 GHz with a minimum return loss of −61.18 dB and the maximum gain of current proposed antenna is 5.8 dBi which is flexible with respect to the size of antenna. After the distribution of eight antennas around the breast phantom, the return loss curves were observed in the presence and absence of tumor cells inside… More > Graphic Abstract

CHAO NIU^1,#, RUOFEI SUN^1,#, XIAOGANG LI², BO LI², XIAODONG HE^1,*

BIOCELL, Vol.47, No.10, pp. 2301-2312, 2023, DOI:10.32604/biocell.2023.029935

Abstract Objective: Breast cancer is a major cancer threatening the health of women globally. To elucidate the effect of the circHIAT1/miR-19a-3p/phosphatase and tensin homolog (PTEN) axis on regulating the malignant phenotype of breast cancer cells. Methods: The mRNA expression pattern of circHIAT1, miR-19a-3p, and PTEN was checked by real-time quantitative polymerase chain reaction. Then, the knockdown assay was carried out to explore the effect of circHIAT1 and miR-19a-3p on breast cancer. The relative cell experiments, including MTT assay, scratch assay, transwell invasion assay, and flow cytometry analysis, were conducted to verify the influence of circHIAT1 and miR-19a-3p on breast cancer cells.… More >

XIN ZHU^1,2,#, BIN XIAO^3,#,*, WENWU ZHANG^3,4, XIAOYU SONG³, WEI GONG⁵, LINHAI LI^3,*, XINPING CHEN^1,2,*

BIOCELL, Vol.47, No.10, pp. 2265-2281, 2023, DOI:10.32604/biocell.2023.029195

Abstract Background: The protein encoded by ring finger protein 157 (RNF157) is known to function as an E3 ubiquitin ligase. However, whether the level of RNF157 expression in breast cancer correlates with prognosis and immune cell infiltration among breast cancer patients remains to be further explored. Methods: In this study, publicly available datasets were used for evaluating RNF157 expression in different tumors compared with normal samples. Several independent datasets were screened for investigating the relationship between RNF157 and breast cancer survival, different mutation profiles, and tumor immune cell infiltration. We conducted a pathway enrichment analysis to identify signaling pathways associated with… More >

Arslan Akram^1,2, Javed Rashid^2,3,4, Fahima Hajjej⁵, Sobia Yaqoob^1,6, Muhammad Hamid⁷, Asma Arshad⁸, Nadeem Sarwar^9,*

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1081-1101, 2023, DOI:10.32604/cmc.2023.041558

Abstract Around one in eight women will be diagnosed with breast cancer at some time. Improved patient outcomes necessitate both early detection and an accurate diagnosis. Histological images are routinely utilized in the process of diagnosing breast cancer. Methods proposed in recent research only focus on classifying breast cancer on specific magnification levels. No study has focused on using a combined dataset with multiple magnification levels to classify breast cancer. A strategy for detecting breast cancer is provided in the context of this investigation. Histopathology image texture data is used with the wavelet transform in this technique. The proposed method comprises… More >

Fuad A. M. Al-Yarimi^*

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 633-645, 2023, DOI:10.32604/cmc.2023.038858

Abstract Unchecked breast cell growth is one of the leading causes of death in women globally and is the cause of breast cancer. The only method to avoid breast cancer-related deaths is through early detection and treatment. The proper classification of malignancies is one of the most significant challenges in the medical industry. Due to their high precision and accuracy, machine learning techniques are extensively employed for identifying and classifying various forms of cancer. Several data mining algorithms were studied and implemented by the author of this review and compared them to the present parameters and accuracy of various algorithms for… More >

Cuirong Xu^1,*, Han Yan², Dawei Xu³, Guanjie Chen⁵, Qian Xu², Kunpeng Li⁶, Yehao Rui⁷, Zanmin Song³, Neeraj Gill³, Jing Sun^3,4,*

International Journal of Mental Health Promotion, Vol.25, No.10, pp. 1089-1102, 2023, DOI:10.32604/ijmhp.2023.030526

Abstract Objective: The purpose of this study was to evaluate the effectiveness of post-traumatic growth (PTG) model-based intervention to improve positive psychological traits in Chinese breast cancer patients. Design: A randomized control trial of a psychological group intervention based on PTG model. Methods: The Clinical Trial was registered on 17 August 2019 at Chinese Clinical Trials.gov with Registration number ChiCTR1900025264. A total of 92 patients with breast cancer were recruited. The participants were randomly assigned to the experimental group (n = 46) and the control group (n = 46). A six-session psychological group intervention based on PTG model was implemented in… More >

Kerstin Faravel^1,*, Marie-Eve Huteau¹, Marta Jarlier², Laetitia Meignant³, Pierre Senesse¹, William Jacot⁴, Anne Stoebner¹

Psycho-Oncologie, Vol.17, No.3, pp. 123-131, 2023, DOI:10.32604/po.2023.044806

Abstract Approximately 50% of breast cancer patients under hormone therapy experience osteoarticular pain, which increases the risk of treatment discontinuation and relapse. The aim of the study was to assess the feasibility of yoga practice associated with patient education (PE) for at-home practice in breast cancer patients under hormone therapy. We also evaluated osteoarticular pain, flexibility and patients’ satisfaction. In this study, intervention was split into two 6-week periods (P): P1 consisting of a supervised yoga-PE session of 90 minutes/week and 15-minutes of daily at-home yoga, and P2, involving daily autonomous athome yoga sessions. Feasibility was evaluated by patient adherence defined… More >

Guillaume Broc^1,*, Julien Carretier^2,3, Sabrina Rouat⁴, Laure Guittard^5,6, Julien Péron^7,8, Béatrice Fervers^3,9, Laurent Letrilliart^6,10, Philippe Sarnin⁴, Jean-Baptiste Fassier^11,12, Marion Lamort-Bouché^6,10

Psycho-Oncologie, Vol.17, No.3, pp. 167-179, 2023, DOI:10.32604/po.2023.044730

Abstract Aims: Return to work (RTW) after breast cancer is a complex process that questions the individual trajectories of patients and stakeholders. Program planning in this context requires relying on appropriate methods like Intervention Mapping (IM) which encompasses such complexity. The aim of the methodological study is to describe an application of IM for both the design and production of a patient guide supporting RTW after breast cancer. Procedure: According to IM, the guide was co-constructed with a Community Advisory Board (CAB) of stakeholders (patients/associations, health professionals, companies, institutions) after considering other options (interactive website, mobile application). The design was done… More >

Valérie Berger^1,2,*, Hélène Hoarau^1,2, Florence Saillour^3,4

Psycho-Oncologie, Vol.17, No.3, pp. 159-166, 2023, DOI:10.32604/po.2023.044727

Abstract The development of digital platforms is transforming caregiver-patient interactions and the dissemination of knowledge. Obtaining information from the Internet has become a habit for many patients and must be considered by caregivers. Thus, understanding the use of digital tools by patients is a public health issue. The Sav-AQ study aims to understand patterns of use by women with breast cancer and the role of health professionals. Sav-AQ is an exploratory feasibility study with a mixed design, exploring patient and healthcare experience before and after the integration of a specific website into their care pathways. The research is based on the… More >