Recognizing the increase in cancer incidence globally and the need for effective cancer control interventions, several organizations, professional bodies, and international institutions have proposed strategies to improve treatment options and reduce mortality along with minimizing overall incidence. Despite these efforts, an estimated 9.6 million deaths in 2018 was attributed to this noncommunicable disease, making it the second leading cause of death worldwide. Left unchecked, this will further increase in scale, with an estimated 29.5 million new cases and 16.3 million deaths occurring worldwide in 2040. Although it is known and generally accepted that cancer services must include radiotherapy, such access is still very limited in many parts of the world, especially in low- and middle-income countries. After thorough review of the current status of radiotherapy including programs worldwide, as well as achievements and challenges at the global level, the International Atomic Energy Agency convened an international group of experts representing various radiation oncology societies to take a closer look into the current status of radiotherapy and provide a road map for future directions in this field. It was concluded that the plethora of global and regional initiatives would benefit further from the existence of a central framework, including an easily accessible repository through which better coordination can be done. Supporting this framework, a practical inventory of competencies needs to be made available on a global level emphasizing the knowledge, skills, and behavior required for a safe, sustainable, and professional practice for various settings. This white paper presents the current status of global radiotherapy and future directions for the community. It forms the basis for an action plan to be developed with professional societies worldwide.

PURPOSE: In 2016, there were 1,308,061 cases of cancer being treated in Indonesia, with 2.2 trillion rupiahs spent, amounting to $486,960,633 in US dollars (purchasing power parity 2016). The high burden of cancers in Indonesia requires a valid data collection to inform future cancer-related policies. The purpose of this study is to report cancer epidemiological data from 2008 to 2012 based on Hospital-Based Cancer Registry (HBCR) data from Cipto Mangunkusumo Hospital, Indonesia. METHODS: This was a descriptive study with cross-sectional design. Data were collected from Cipto Mangunkusumo Hospital HBCR 2008-2012. Demographical, diagnostic, stages of cancer, and histopathological types of cancer data were extracted. RESULTS: After screening, 18,216 cases were included. A total of 12,438 patients were older than 39 years of age (68.3%), with a female-to-male ratio of 9:5. Most patients have cancers at advanced stages (stages III and IV, 10.2%). The most common sites of cancer were cervix uteri (2,878 cases, 15.8%), breast (2,459 cases, 13.5%), hematopoietic and reticuloendothelial systems (1,422 cases, 7.8%), nasopharynx (1,338 cases, 7.4%), and lymph nodes (1,104 cases, 6.1%). CONCLUSION: From this HBCR, cancer incidence in female was almost twice the incidence in male, largely because of the burden of cervical and breast cancers. The cervix uteri as one of the top five cancer sites based on this HBCR, 2008-2012, are still approximately consistent with Global Cancer Incidence, Mortality and Prevalence 2018, which portrayed that Indonesia has been severely afflicted by cervical cancer cases more than any other Association of Southeast Asian Nations countries. The HBCR could serve as a robust database of epidemiological data for cancer cases in Indonesia.

Low- and middle-income countries (LMICs) have a large burden of cancer with differential population needs and outcomes compared to high-income countries. Access to radiotherapy, especially modern technology, is a major challenge. Modern radiotherapy has been demonstrated with better utility in overall cancer outcomes. We deliberate various challenges and opportunities unique to LMICs' set up for access to modern radiotherapy technology in the light of discussions and deliberations made during the recently concluded annual meeting of Tata Memorial Centre, India. We take examples available from various LMICs in this direction in our manuscript.

Not all T cells are effector cells of the anti-tumor immune system. One of the subpopulations of CD4⁺ T cells that express CD25⁺ and the transcription factor FOXP3, known as Regulator T cells (T_Reg), plays an essential role in maintaining tolerance and immune homeostasis preventing autoimmune diseases, minimalize chronic inflammatory diseases by enlisting various immunoregulatory mechanisms. The balance between effector T cells (T_eff) and regulator T cells is crucial in determining the outcome of an immune response. Regarding tumors, activation or expansion of T_Reg cells reduces anti-tumor immunity. T_Reg cells inhibit the activation of CD4⁺ and CD8⁺ T cells and suppress anti-tumor activity in the tumor microenvironment. In addition, T_Reg cells also promote tumor angiogenesis both directly and indirectly to ensure oxygen and nutrient transport to the tumor. There is accumulating evidence showing a positive result that removing or suppressing T_Reg cells increases anti-tumor immune response. However, depletion of T_Reg cells will cause autoimmunity. One strategy to improve or restore tumor immunity is targeted therapy on the dominant effector T_Reg cells in tumor tissue. Various molecules such as CTLA-4, CD4, CD25, GITR, PD-1, OX40, ICOS are in clinical trials to assess their role in attenuating T_Reg cells’ function.

BACKGROUND Cancer is a complex disease requiring a multidisciplinary approach in establishing prompt diagnosis and treatment. Treatment in a timely manner is crucial for the outcomes. Hence, this study aimed to provide information on treatment delay including patient and provider delays and its associated factors. METHODS Cancer patients were recruited conveniently in the outpatient clinic of Department of Radiation Oncology, Cipto Mangunkusumo Hospital, Indonesia between May and August 2015. All patients were asked to fill a questionnaire and interviewed in this cross-sectional study. Treatment delay was explored and categorized into patient delay and provider delay. Patient delay could be happened before (patient-delay-1) or after (patient-delay-2) the patient was diagnosed with cancer. Provider delay could be due to physician, system-diagnosis, and system-treatment delays. RESULTS Among 294 patients, 86% patient had treatment delay. Patient delay was observed in 153 patients, and 43% of them had a history of alternative treatment. An older age (p = 0.047), lower educational level (p = 0.047), and history of alternative treatment (p<0.001) were associated with patient delay. Meanwhile, 214 patients had provider delay, and 9%, 36%, and 80% of them experienced physician, system-diagnosis, and system-treatment delays, respectively. All types of provider delay were associated with patient delay (p<0.001). CONCLUSIONS Most of the patient had treatment delay caused by either patient or provider.

The rate and characteristics of prostate-specific antigen (PSA) bounce post-radiotherapy remain unclear. To address this issue, we performed a meta-analysis. Reports of PSA bounce post-radiotherapy with a cutoff of 0.2 ng/mL were searched by using Medline and Web of Science. The primary endpoint was the occurrence rate, and the secondary endpoints were bounce characteristics such as amplitude, time to occurrence, nadir value, and time to nadir. Radiotherapy modality, age, risk classification, androgen deprivation therapy, and the follow-up period were extracted as clinical variables. Meta-analysis and univariate meta-regression were performed with random-effect modeling. Among 290 search-positive studies, 50 reports including 26,258 patients were identified. The rate of bounce was 31%; amplitude was 1.3 ng/mL; time to occurrence was 18 months; nadir value was 0.5 ng/mL; time to nadir was 33 months. Univariate meta-regression analysis showed that radiotherapy modality (29.7%), age (20.2%), and risk classification (12.2%) were the major causes of heterogeneity in the rate of bounce. This is the first meta-analysis of PSA bounce post-radiotherapy. The results are useful for post-radiotherapy surveillance of prostate cancer patients.