ReviewJournal of clinical medicine2026
Modern Personalized Strategies for Breast Cancer Treatment: Bridging Precision Oncology and Psycho-Oncology.
Review in Journal of clinical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Time Toxicity in Advanced Breast Cancer: Psychological Burden, Psychiatric Vulnerability, and Implications for Patient-Centered Decision-Making.Medicina (Kaunas, Lithuania) · 2026Review
- Insomnia in Breast Cancer: A Neglected Symptom Cluster.Journal of clinical medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer represents a paradigmatic model of precision oncology, with treatment strategies increasingly guided by molecular profiling and biomarker-driven targeted therapies. Despite these advances in biological personalization, clinical outcomes remain strongly influenced by psychological and psychiatric factors that are still insufficiently integrated into oncological decision-making. This gap underscores the need for a broader, person-centered model of personalization that extends beyond tumor biology. This narrative review synthesizes current evidence on contemporary personalized strategies in breast cancer management, with a specific focus on the integration of precision oncology and psycho-oncology. A structured literature search was conducted across major biomedical databases to identify studies addressing molecular stratification, targeted treatments, psychiatric comorbidity, psychological profiles, and psycho-oncological interventions relevant to treatment personalization. While molecular classification and biomarker-guided therapies have substantially improved breast cancer outcomes, high rates of depression, anxiety, psychological distress, and maladaptive coping styles are consistently reported across disease stages. These psychological and psychiatric dimensions significantly influence treatment adherence, tolerability, quality of life, and ultimately clinical outcomes. Growing evidence supports the systematic use of psychological screening tools and tailored psycho-oncological interventions, both psychological and pharmacological, as integral components of personalized cancer care. Integrated care models combining oncological and psycho-oncological expertise are associated with improved patient-reported outcomes and may enhance overall therapeutic effectiveness. True personalization in breast cancer treatment extends beyond biological precision and requires the structured integration of psycho-oncological assessment and intervention into routine clinical pathways. Bridging precision oncology and psycho-oncology enables a more comprehensive, patient-centered approach, optimizing adherence, quality of life, and long-term outcomes. Future strategies should prioritize multidisciplinary models of care and the development of integrated clinical frameworks to achieve genuinely personalized breast cancer management.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.