Introduction: Most patients with limited disease small cell lung cancer (LD-SCLC) receive definitive radiochemotherapy. Some patients cannot withstand combined modality treatments. Patients with short life expectancies should receive less time-consuming programs. For patients with favorable prognoses, cure while avoiding late toxicity is important. Personalized treatment programs are required. An instrument to estimate the survival after radiochemotherapy of LD-SCLC was created.
Methods: Seventy-one patients receiving definitive radiochemotherapy for LD-SCLC were retrospectively analyzed. Eight factors were evaluated for survival including gender, age, Karnofsky performance score, T-stage, N-stage, tumor substage, number of pack years, and pre-radiotherapy hemoglobin level. Factors that were significant (p < 0.05) or showed a trend (p ≤ 0.08) on multivariate analyses were incorporated in the score. Scoring points were derived from 2-year survival rates divided by 10 and added to scores for individual patients.
Results: On multivariate analysis, gender (p = 0.03), performance score (p < 0.001), and pre-radiotherapy hemoglobin level (p = 0.04) were significant, and tumor substage showed a trend (p = 0.08). Taking into account the 2-year survival rates of these factors, scores for single patients ranged from 9 to 26 points. Three groups were identified: 9-13, 14-18, and 19-26 points. One-year survival rates were 8, 73, and 100 %, respectively (p < 0.001). Two-year survival rates were 0, 35, and 87 %, respectively (p < 0.001). The 3-year survival rates were 0, 19, and 75 %, respectively (p < 0.001).
Conclusion: This score including three groups with significantly different survival rates is a helpful instrument for personalization of therapy for patients with LD-SCLC. When using this instrument, the limitations if this study must be taken into account.
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http://dx.doi.org/10.1007/s00408-016-9886-z | DOI Listing |
Curr Oncol
January 2025
Department of Radiation Oncology, Akdeniz University, 07070 Antalya, Turkey.
: Inflammatory biomarkers have been shown to possess both prognostic and predictive significance in various cancers. Among the emerging biomarkers, the pan-immune-inflammation value (PIV) has recently been introduced as a novel indicator representing both the immune response and the systemic inflammatory state. This study aims to comprehensively evaluate the predictive value of inflammatory biomarkers on survival outcomes in cervical cancer patients undergoing chemoradiotherapy.
View Article and Find Full Text PDFCancer Rep (Hoboken)
January 2025
Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
Background: The optimal management strategy for Stage IV rectal cancer with potentially treatable liver metastases remains controversial, particularly regarding the role of pelvic radiotherapy (RT).
Aims: We intend to investigate the impact of pelvic RT on oncological outcomes of rectal cancer with potentially treatable liver metastasis.
Methods And Results: This retrospective study included 83 patients diagnosed with rectal cancer and synchronous liver metastases from June 2012 to January 2022.
BMC Cancer
January 2025
Department of Thoracic Surgery, Yokohama Municipal Citizen's Hospital, 1-1, Mitsuzawanishimachi, Kanagawa-ku, Yokohama City, Kanagawa Prefecture, 221-0855, Japan.
Background: No study has directly compared the outcomes of surgery and concurrent chemoradiotherapy (cCRT) in patients with stage III non-small cell lung cancer (NSCLC) to date. This study aimed to compare the treatment efficacy of complete resection and definitive cCRT.
Methods: Patients were recruited in this retrospective study from Yokohama Municipal Citizens' Hospital between January 2013 and December 2022.
Mol Carcinog
January 2025
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
The standard therapy for locally unresectable advanced non-small cell lung cancer (NSCLC) is comprised of chemoradiotherapy (CRT) before immunotherapy (IO) consolidation. However, how to predict treatment outcomes and recognize patients that will benefit from IO remain unclear. This study aimed to identify prognostic biomarkers by integrating computed tomography (CT)-based radiomics and genomics.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Tongji Research Institute of Stomatology, Department of Prosthodontics, Shanghai Tongji Stomatological Hospital, Dental School, Tongji University, Shanghai, China.
Background: The conventional treatment for locally advanced head and neck squamous cell carcinoma (LA-HNSCC) is surgery; however, the efficacy of definitive chemoradiotherapy (CRT) remains controversial.
Objective: This study aimed to evaluate the ability of deep learning (DL) models to identify patients with LA-HNSCC who can achieve organ preservation through definitive CRT and provide individualized adjuvant treatment recommendations for patients who are better suited for surgery.
Methods: Five models were developed for treatment recommendations.
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