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1.
Indian J Otolaryngol Head Neck Surg ; 76(4): 3735-3736, 2024 Aug.
Article in English | MEDLINE | ID: mdl-39130252

ABSTRACT

We read the study conducted by Joseph and colleagues with great interest, which investigated the loco-regional control, disease-specific survival (DSS), overall survival (OS), and treatment-related complications in 163 oral cancer (OC) patients treated with radiotherapy (RT) or chemo-RT (CRT) for close resection margins (CRMs).The study results offer valuable insights into the role of RT/CRT in OC patients with CRMs, but two concerns must be addressed to interpret the outcomes rigorously.

3.
Can Respir J ; 2024: 2803044, 2024.
Article in English | MEDLINE | ID: mdl-38975012

ABSTRACT

Objectives: We explored the prognostic utility of the unique combination of C-reactive-protein-to-albumin ratio (CAR) and significant weight loss (WL > 5%) over the preceding 6 months, namely, the CARWL score, in stage IIIC non-small-cell lung cancer (NSCLC) patients who underwent concurrent chemoradiotherapy (CCRT). Methods: For each patient, the CAR was calculated using C-reactive protein and albumin measurements obtained on the first day of CCRT: CAR = C-reactive protein ÷ albumin. The availability of an ideal CAR cutoff that may categorize patients into two distinct progression-free (PFS) and overall survival (OS) outcomes was explored by employing receiver operating characteristic (ROC) curve analysis. Patients were additionally divided into two groups based on their status of significant WL according to the well-recognized Delphi criteria. Then, the CARWL score was created by combining all feasible combinations of the CAR and significant WL groupings. The potential links between pretreatment CARWL groups and the post-CCRT OS and PFS outcomes were determined as the primary and secondary endpoints. Results: This retrospective cohort study comprised a total of 651 stage IIIC NSCLC patients. ROC curve analysis indicated that rounded 3.0 was the ideal CAR cutoff (area under the curve (AUC): 70.1%; sensitivity: 67.8%; specificity: 65.9%), which categorized the patients into CAR < 3.0 (N = 324) and CAR ≥ 3.0 (N = 327) groups. There were 308 (47.3%) and 343 (52.7%) patients without and with significant WL, respectively. The created CARWL groups were CARWL-0: CAR < 3.0 and WL ≤ 5.0%; CARWL-1: CAR < 3.0 and WL > 5.0%, or CAR ≥ 3.0 and WL ≤ 5.0%; and CARWL-2: CAR > 3.0 and WL > 5.0%. The Kaplan-Meier curves showed that the PFS (14.2 vs. 11.4 vs. 7.5 months; P < 0.001) and OS (37.3 vs. 23.6 vs. 12.8 months; P < 0.001) durations were gradually and significantly lowered from the CARWL-0 to CARWL-2 groups. The CARWL score's significant impacts on PFS and OS outcomes were found to be independent of the other variables in the multivariate analysis (P < 0.001, for each). Conclusions: Our findings indicate that the novel CARWL score, which accounts for pretreatment CAR and significant WL during the preceding 6 months, can reliably stratify newly diagnosed stage IIIC NSCLC patients into three groups with significantly different PFS and OS after definitive CCRT.


Subject(s)
C-Reactive Protein , Carcinoma, Non-Small-Cell Lung , Chemoradiotherapy , Lung Neoplasms , Humans , Carcinoma, Non-Small-Cell Lung/therapy , Carcinoma, Non-Small-Cell Lung/pathology , Carcinoma, Non-Small-Cell Lung/mortality , Lung Neoplasms/therapy , Lung Neoplasms/pathology , Lung Neoplasms/mortality , Chemoradiotherapy/methods , Female , Male , Middle Aged , Retrospective Studies , Aged , Prognosis , C-Reactive Protein/analysis , Neoplasm Staging , Serum Albumin/analysis , Weight Loss , Adult , ROC Curve
4.
J Pers Med ; 14(7)2024 Jul 13.
Article in English | MEDLINE | ID: mdl-39064000

ABSTRACT

BACKGROUND: Propensity score matching (PSM) was used to investigate the prognostic value of a novel GLUCAR index [Glucose × (C-reactive protein ÷ albumin)] in unresectable locally advanced pancreatic cancer (LA-NPC) patients who received definitive concurrent chemoradiotherapy (CCRT). METHODS: The PSM analysis comprised 142 LA-PAC patients subjected to definitive CCRT. Receiver operating characteristic (ROC) curve analysis was utilized to identify relevant pre-CCRT cutoffs that could effectively stratify survival results. The primary and secondary objectives were the correlations between the pre-CCRT GLUCAR measures and overall survival (OS) and progression-free survival (PFS). RESULTS: The ROC analysis revealed significance at 43.3 for PFS [area under the curve (AUC): 85.1%; sensitivity: 76.8%; specificity: 74.2%; J-index: 0.510)] and 42.8 for OS (AUC: 81.8%; sensitivity: 74.2%; specificity: 71.7%; J-index: 0.459). Given that these cutoff points were close, the standard cutoff point, 42.8, was selected for further analysis. Comparative survival analyses showed that pre-CCRT GLUCAR ≥ 42.8 (n = 71) measures were associated with significantly shorter median PFS (4.7 vs. 15.8 months; p < 0.001) and OS (10.1 vs. 25.4 months; p < 0.001) durations compared to GLUCAR < 42.8 measures (n = 71). The multivariate analysis results confirmed the independent significance of the GLUCAR index on PFS (p < 0.001) and OS (p < 0.001) outcomes. CONCLUSIONS: Elevated pre-CCRT GLUCAR levels are robustly and independently linked to significantly poorer PFS and OS outcomes in unresectable LA-PAC patients treated with definitive CCRT.

8.
Biomol Biomed ; 2024 Jun 10.
Article in English | MEDLINE | ID: mdl-38860864

ABSTRACT

In this study, we aimed to evaluate whether the novel pretreatment Global Immune-Nutrition-Inflammation Index (GINI) can predict radiation-induced trismus (RIT) in locally advanced nasopharyngeal carcinoma (LA-NPC) patients undergoing concurrent chemoradiotherapy (CCRT). Data of LA-NPC patients presenting without RIT were reviewed retrospectively. Any post-CCRT maximum mouth openings (MMO) ≤ 35 mm were considered RIT. The GINI index was calculated using the formula: GINI = (CRP x Monocytes x Platelets x Neutrophils) ÷ (Albumin x Lymphocytes). We used receiver operating characteristic (ROC) curve analysis to examine the potential correlation between pretreatment GINI measures and post-CCRT RIT status. Logistic regression analysis examined the independence of the association between confounding factors and RIT rates. The study comprised 230 participants, and 52 (22.6%) received an RIT diagnosis. The optimal pre-CCRT GINI cutoff that dichotomizes RIT rates was determined to be 1,424 (area under the curve [AUC]: 76%; sensitivity: 75.0%; specificity: 71.7%; J-index: 0.463). RIT incidence was significantly higher in the GINI ≥ 1424 group than in its GINI < 1424 counterpart (43.3% vs. 9.3%; hazard ratio: 4.76; P < 0.001). Multivariate logistic regression analysis revealed that a pre-CCRT GINI ≥ 1424 was an independent predictor of increased RIT rates after definitive CCRT in this patient group (P < 0.001). In conclusion, the present results revealed that elevated pre-CCRT GINI measures (≥ 1424) can efficiently and independently predict elevated RIT rates in LA-NPC patients after CCRT.

9.
Int J Radiat Oncol Biol Phys ; 119(3): 1025, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38851259
16.
J Thorac Dis ; 16(3): 2142-2158, 2024 Mar 29.
Article in English | MEDLINE | ID: mdl-38617789

ABSTRACT

Background: The prevalence of lung cancer in the Middle East and Africa (MEA) region has steadily increased in recent years and is generally associated with a poor prognosis due to the late detection of most of the cases. We explored the factors leading to delayed diagnoses, as well as the challenges and gaps in the early screening, detection, and referral framework for lung cancer in the MEA. Methods: A steering committee meeting was convened in October 2022, attended by a panel of ten key external experts in the field of oncology from the Kingdom of Saudi Arabia, United Arab Emirates, South Africa, Egypt, Lebanon, Jordan, and Turkey, who critically and extensively analyzed the current unmet needs and challenges in the screening and early diagnosis of lung cancer in the region. Results: As per the experts' opinion, lack of awareness about disease symptoms, misdiagnosis, limited screening initiatives, and late referral to specialists were the primary reasons for delayed diagnoses emphasizing the need for national-level lung cancer screening programs in the MEA region. Screening guidelines recommend low-dose computerized tomography (LDCT) for lung cancer screening in patients with a high risk of malignancy. However, high cost and lack of awareness among the public as well as healthcare providers prevented the judicious use of LDCT in the MEA region. Well-established screening and referral guidelines were available in only a few of the MEA countries and needed to be implemented in others to identify suspected cases early and provide timely intervention thus improving patient outcomes. Conclusions: There is a great need for large-scale screening programs, preferably integrated with tobacco-control programs and awareness programs for physicians and patients, which may facilitate higher adherence to lung cancer screening and improve survival outcomes.

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