Core Insights - The increasing prevalence of malignant tumors such as lung cancer and breast cancer poses significant health threats, necessitating improvements in diagnosis and treatment systems [1] Group 1: Challenges in Cancer Treatment - Lung cancer treatment faces three major barriers: significant differences in treatment standards and capabilities across regions and hospitals, insufficient standardization and prevalence of genetic testing, and difficulties in accessing quality medications at the grassroots level [2] - In breast cancer treatment, there are notable challenges including significant disparities in treatment standards across regions and the need to balance drug efficacy with safety, particularly concerning cardiovascular risks [2][3] Group 2: Systemic Changes and Innovations - The lung cancer treatment system is undergoing rapid transformation, with tiered medical care and medical alliances being key strategies to deliver standardized treatment to grassroots levels [3] - The establishment of national and provincial expert committees for standardized breast cancer management provides scientific guidance and integrates resources across various medical disciplines [3] Group 3: Patient-Centric Approaches - There is a pressing need to address the unmet needs of patients throughout their treatment journey, which includes resource access, psychological support, and long-term management [4] - The "With Cancer Dance" forum highlights the challenges faced by cancer patients, emphasizing the need for improved drug approval processes, better insurance coverage, and personalized support for elderly and economically disadvantaged patients [4] Group 4: Collaborative Ecosystem for Patient Care - The shift towards managing cancer as a chronic disease necessitates a collaborative approach among medical institutions, pharmaceutical companies, and patient organizations to create an efficient treatment ecosystem centered on patient needs [5] - High-quality patient service platforms and tools are essential, with companies leveraging big data and AI to enhance patient engagement and decision-making in treatment [6]

Core Insights - The field of cancer treatment is undergoing significant transformation driven by advancements in medical technology and a patient-centered approach [1] Group 1: Standardization and Quality of Care - There is a critical issue of "insufficient total resources and uneven distribution" in China's cancer medical resources, necessitating the need for high-quality treatment resources to be more accessible [2] - The core direction for promoting standardized and homogenized treatment is to expand and balance the distribution of quality medical resources [2] - Pharmaceutical companies play a vital role in this process by collaborating with experts to create educational content and help more doctors, especially those in grassroots settings, understand and apply clinical guidelines [2] Group 2: Patient-Centric Management - Recent innovations in targeted and immunotherapy have shifted cancer management from a "disease-centered" to a "health-centered" approach, emphasizing the importance of improving patients' quality of life alongside treatment efficacy [3] - A multi-faceted support system is essential for helping patients cope with emotional challenges and treatment side effects, including family support, accurate disease understanding, and shared experiences from patient organizations [3][4] - Companies are actively involved in developing disease management guidelines from the perspectives of patients and caregivers, which aids in shared decision-making and improves treatment adherence [4] Group 3: Collaborative Decision-Making - The core of comprehensive cancer management lies in breaking the traditional "doctor-led, patient-passive" model and establishing a collaborative decision-making ecosystem [5] - Effective communication between doctors and patients is crucial, as many patients misinterpret professional literature due to a lack of accessible educational materials [5] - Pharmaceutical companies are addressing information gaps by transforming scientific papers into understandable content, facilitating better communication and understanding between patients and healthcare providers [5]