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]