ecancermedicalscience

Submit article

https://doi.org/10.3332/ecancer.2022.1403

Abstract | Full Article |

Special Issue

Teaching breast cancer surgery in India: challenges and opportunities

26 May 2022

Sanjit Kumar Agrawal, Piyush Ranjan, Noopur Priya, Shashank Nigam, Sumohan Chatterjee

Breast cancer (BC) incidence is increasing in India, and we need well-trained breast surgeons to deliver quality care to patients. However, BC surgery training in India is highly variable, evolving slowly and needs to be structured urgently. This article summarises the challenges and way forward for BC surgery training in India.

Article metrics: 2885 views

833

2052

2182-knowledge-attitudes-and-practices-regarding-palliative-sedation-among-healthcare-professionals-a-scoping-review

Review: Knowledge, attitudes and practices regarding palliative sedation among healthcare professionals: a scoping review

Mayra F Ordoñez Sayago, Patricia Bonilla Sierra

10 Aug 2026

https://doi.org/10.3332/ecancer.2026.2182

Abstract | Full Article | PDF

2183-comparison-of-sedlis-and-pretoria-gynaecologic-oncology-criteria-for-adjuvant-radiation-after-radical-hysterectomy-in-non-high-risk-cervical-cancer

Research: Comparison of Sedlis and Pretoria Gynaecologic Oncology criteria for adjuvant radiation after radical hysterectomy in non-high-risk cervical cancer

Vinotha Thomas, Monica Thiagarajan, Dhanya Susan Thomas, Ajit Sebastian, Rachel Chandy, Anitha Thomas, Grace Rebekah, Thomas Samuel Ram, Abraham Peedicayil, Greta Dreyer

10 Aug 2026

https://doi.org/10.3332/ecancer.2026.2183

Abstract | Full Article | PDF

2184-a-comprehensive-mapping-of-cancer-clinical-trials-in-brazil

Research: A comprehensive mapping of cancer clinical trials in Brazil

Laura Mendonça Diefenthaeler, Julia Kasali Lima, Maria Carolina Buj, Giovani Gadonski, Matheus Gadonski Stortti Rosa, Alexandre Vieira, Gustavo Werutsky, Roberta Pozza, Juliana Giacomazzi

10 Aug 2026

https://doi.org/10.3332/ecancer.2026.2184

Abstract | Full Article | PDF

2179-enhancing-breast-cancer-prediction-using-a-customised-neural-network-with-oversampling-and-feature-selection-on-mizo-population-germline-datasets

Research: Enhancing breast cancer prediction using a customised neural network with oversampling and feature selection on Mizo population germline datasets

Brindha Senthil Kumar, Ponnagoundanpudur Sundaramoorthy Kirit, Nachimuthu Senthil Kumar, Shanmuganandam Sumathi, Samuel Lalhruaizela, Lal Hruaitluanga, Lal Hmingliana

5 Aug 2026

https://doi.org/10.3332/ecancer.2026.2179

Abstract | Full Article | PDF