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Kuang Z, Miao J, Zhang X. Serum albumin and derived neutrophil-to-lymphocyte ratio are potential predictive biomarkers for immune checkpoint inhibitors in small cell lung cancer. Front Immunol 2024; 15:1327449. [PMID: 38911864 PMCID: PMC11190784 DOI: 10.3389/fimmu.2024.1327449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 05/21/2024] [Indexed: 06/25/2024] Open
Abstract
Background Immune checkpoint inhibitors (ICIs) have reshaped the treatment landscape of small cell lung cancer (SCLC), but only a minority of patients benefit from this therapy. Therefore, it is critical to identify potential risk factors that could predict the efficacy of ICI treatment in SCLC patients and identify patient subgroups who may benefit the most from ICI therapy. Methods Our study included a total of 183 SCLC patients who had received at least one dose of ICI treatment. We utilized both logistic regression and Cox proportional hazard regression to evaluate whether various patient clinical factors and serum biomarkers could serve as predictors of patient response to treatment and overall survival (OS) during ICI therapy. Results Logistic regression showed that patients with a history of surgery (p=0.003, OR 9.06, 95% CI: (2.17, 37.9)) and no metastasis (p=0.008, OR 7.82, 95% CI: (1.73, 35.4)) exhibited a higher odds of response to ICI treatment. Cox regression analyses demonstrated that pretreatment blood albumin (p=0.003, HR 1.72, 95% CI: (1.21, 2.45)) and derived neutrophil to lymphocyte ratio (dNLR) (p=0.003, HR 1.71, 95% CI: (1.20-2.44)) were independent predictors for OS in SCLC patients. By establishing a pre-treatment prognostic scoring system based on baseline albumin and dNLR, we found that patients with high albumin and low dNLR exhibited a significantly better prognosis than those with low albumin and high dNLR in both the full (P<.0001, HR 0.33, 95% CI: 0.20-0.55) and the metastatic cohort (P<.0001, HR 0.28, 95% CI: 0.15-0.51). The better prognostic group also had younger age, higher BMI and lower systemic inflammatory biomarker values than the unfavorable group (P<.0001). Conclusion Our data reveals the significant role of metastasis status and treatment history in predicting the initial response of SCLC patients to ICI treatment. However, baseline serum albumin and dNLR provide a more precise prognostic prediction for patient OS. The scoring system based on albumin and dNLR enhances the ability to stratify patient prognosis and holds the potential to guide clinical decision-making for SCLC patients undergoing ICI therapy.
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Affiliation(s)
- Zhanpeng Kuang
- College of Public Health, The Ohio State University, Columbus, OH, United States
| | - Jessica Miao
- College of Arts and Sciences, The Ohio State University, Columbus, OH, United States
| | - Xiaoli Zhang
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States
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Liang Y, Xu H, Liu F, Li L, Lin C, Zhang Y, Wang N, Wang L. Immune-related adverse events and their effects on survival outcomes in patients with non-small cell lung cancer treated with immune checkpoint inhibitors: a systematic review and meta-analysis. Front Oncol 2024; 14:1281645. [PMID: 38887231 PMCID: PMC11180722 DOI: 10.3389/fonc.2024.1281645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 05/14/2024] [Indexed: 06/20/2024] Open
Abstract
Background The use of immune checkpoint inhibitors (ICIs) has become the standard of care for non-small cell lung cancer. The purpose of this study was to systematically review the literature to determine whether the occurrence of immune-related adverse events (irAEs) following the use of ICIs predicts different clinical outcomes in non-small cell lung cancer (NSCLC). Methods Relevant studies from the time of database creation to July 20, 2023, were systematically searched to explore the differences in clinical outcomes in patients with advanced NSCLC with or without irAEs. The outcome indicators included the occurrence of irAEs, progression-free survival (PFS), and overall survival (OS). Results 25 studies met the inclusion criteria. Of these studies, 22 reported the effect on OS, and 19 reported the effect on PFS. The results showed that for patients with NSCLC, the occurrence of irAEs after receiving immunotherapy showed a statistically significant benefit over the absence of irAEs for OS (HR=0.55,95% CI=0.46-0.65) and PFS (HR=0.55 95% CI=0.48-0.64), but severe irAEs (grades 3-5) were associated with worse OS (HR=1.05, 95% CI=0.87-1.27). Compared with gastrointestinal, lung, and hepatitis, irAEs of the skin and endocrine system tend to predict better OS and PFS. Conclusion The occurrence of irAEs, especially mild and early irAEs, indicates better OS and PFS in patients with NSCLC treated with ICIs, irrespective of patient characteristics, type of ICIs, and irAEs. However, Grade 3 or higher toxicities resulted in worse OS. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42023409444.
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Affiliation(s)
- Yuxiang Liang
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Haidi Xu
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Futao Liu
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Lei Li
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - ChenXi Lin
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yaozhong Zhang
- Department of Infection, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Na Wang
- Cancer Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Lei Wang
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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Ma S, Nie H, Wei C, Jin C, Wang L. Association between immune-related adverse events and prognosis in patients with advanced non-small cell lung cancer: a systematic review and meta-analysis. Front Oncol 2024; 14:1402017. [PMID: 38779082 PMCID: PMC11109391 DOI: 10.3389/fonc.2024.1402017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 04/17/2024] [Indexed: 05/25/2024] Open
Abstract
Background The emergence of immune checkpoint inhibitors (ICIs) provides a variety of options for patients with advanced non-small-cell lung cancer (NSCLC). After the application of ICIs, the immune system of patients was highly activated, and immune-related adverse events (irAEs) could occur in some organ systems, and irAEs seemed to be associated with the survival prognosis of patients. Therefore, we evaluated the association between survival outcomes and irAEs in NSCLC patients and conducted a systematic review and meta-analysis. Methods We conducted systematic reviews of PubMed, Embase, Cochrane, and Web of Science databases until December 2021. The forest map was constructed by combining the hazard ratio (HR) and 95% confidence interval (CI). I2 estimated the heterogeneity between studies. A meta-analysis was performed using R 4.2.1 software. Results Eighteen studies included 4808 patients with advanced NSCLC. In pooled analysis, the occurrence of irAEs was found to be a favorable factor for improved prognosis (PFS: HR: 0.48, 95% CI: 0.41-0.55, P <0.01; OS: HR: 0.46, 95% CI: 0.42-0.52, P <0.01). In subgroup analyses, cutaneous irAE, gastrointestinal irAE, endocrine irAE and grade ≥3 irAEs were associated with improvements in PFS and OS, but pulmonary and hepatic irAEs were not. Conclusion Existing evidence suggests that the occurrence of irAEs may be a prognostic biomarker for advanced NSCLC. However, further research is needed to explore the prospect of irAEs as a prognostic biomarker in patients undergoing immunotherapy. Systematic review registration https://www.crd.york.ac.uk/PROSPEROFILES/405333_STRATEGY_20240502.pdf, identifier CRD42023405333.
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Affiliation(s)
- Shixin Ma
- Graduate School, Dalian Medical University, Dalian, Liaoning, China
- Department of Thoracic Surgery, Qingdao Municipal Hospital, Qingdao, Shandong, China
| | - He Nie
- Graduate School, Xi ‘an Medical University, Xi ‘an, Shanxi, China
| | - Chaoyu Wei
- Graduate School, Dalian Medical University, Dalian, Liaoning, China
| | - Cailong Jin
- Department of Thoracic Surgery, Qingdao Women, And Children Hospital (Women and Children’s Hospital Affiliated to Qingdao University), Qingdao, China
| | - Lunqing Wang
- Department of Thoracic Surgery, Qingdao Municipal Hospital, Qingdao, Shandong, China
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Yang Y, Yi Y, Wang Z, Li S, Zhang B, Sang Z, Zhang L, Cao Q, Li B. A combined nomogram based on radiomics and hematology to predict the pathological complete response of neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma. BMC Cancer 2024; 24:460. [PMID: 38609892 PMCID: PMC11015586 DOI: 10.1186/s12885-024-12239-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 04/09/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND To predict pathological complete response (pCR) in patients receiving neoadjuvant immunochemotherapy (nICT) for esophageal squamous cell carcinoma (ESCC), we explored the factors that influence pCR after nICT and established a combined nomogram model. METHODS We retrospectively included 164 ESCC patients treated with nICT. The radiomics signature and hematology model were constructed utilizing least absolute shrinkage and selection operator (LASSO) regression, and the radiomics score (radScore) and hematology score (hemScore) were determined for each patient. Using the radScore, hemScore, and independent influencing factors obtained through univariate and multivariate analyses, a combined nomogram was established. The consistency and prediction ability of the nomogram were assessed utilizing calibration curve and the area under the receiver operating factor curve (AUC), and the clinical benefits were assessed utilizing decision curve analysis (DCA). RESULTS We constructed three predictive models.The AUC values of the radiomics signature and hematology model reached 0.874 (95% CI: 0.819-0.928) and 0.772 (95% CI: 0.699-0.845), respectively. Tumor length, cN stage, the radScore, and the hemScore were found to be independent factors influencing pCR according to univariate and multivariate analyses (P < 0.05). A combined nomogram was constructed from these factors, and AUC reached 0.934 (95% CI: 0.896-0.972). DCA demonstrated that the clinical benefits brought by the nomogram for patients across an extensive range were greater than those of other individual models. CONCLUSIONS By combining CT radiomics, hematological factors, and clinicopathological characteristics before treatment, we developed a nomogram model that effectively predicted whether ESCC patients would achieve pCR after nICT, thus identifying patients who are sensitive to nICT and assisting in clinical treatment decision-making.
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Affiliation(s)
- Yu Yang
- Shandong Medical Imaging and Radiotherapy Engineering Center (SMIREC), Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yan Yi
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhongtang Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Shanshan Li
- Department of Oncology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Bin Zhang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zheng Sang
- Shandong Medical Imaging and Radiotherapy Engineering Center (SMIREC), Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Lili Zhang
- Shandong Medical Imaging and Radiotherapy Engineering Center (SMIREC), Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Qiang Cao
- Shandong Medical Imaging and Radiotherapy Engineering Center (SMIREC), Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
| | - Baosheng Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
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Liu L, Shi Z, Qiu X. Impact of bone metastasis on the prognosis of non-small cell lung cancer patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis. Clin Transl Oncol 2024; 26:747-755. [PMID: 37566344 DOI: 10.1007/s12094-023-03300-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 07/27/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND This review was implemented to examine the impact of bone metastasis on the prognosis of non-small cell lung cancer patients (NSCLC) treated with immune checkpoint inhibitors (ICIs). METHODS A literature search was conducted in the PubMed, CENTRAL, Web of Science, and Embase databases up to 4th September 2022. Multivariable adjusted data were pooled in a random-effects model. RESULTS 13 studies were included. On a combined analysis of 10 studies, it was noted that bony metastasis was associated with poor overall survival (OS) in NSCLC patients treated with ICIs (HR: 1.55 95% CI 1.24, 1.94 I2 = 69% p = 0.001). Meta-analysis of seven studies showed that bony metastasis was not associated with poor progression-free survival (PFS) in NSCLC patients treated with ICIs (HR: 1.31 95% CI 0.85, 2.01 I2 = 85% p = 0.22). Meta-regression analysis using the moderator's age, male gender, smoking history, squamous histology, and ICI as 1st line therapy for the outcome OS was not statistically significant. CONCLUSION The presence of bone metastasis is a predictor of poor OS in NSCLC treated with ICIs. However, PFS does not seem to be influenced by the presence of bone metastasis. Clinicians should prioritize the management of NSCLC patients with bone metastasis and explore the use of combination therapies to achieve optimal results. Further studies taking into account different combination therapies for such patients would strengthen the evidence.
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Affiliation(s)
- Lina Liu
- Department of Oncology, Wenzhou Hospital of Traditional Chinese Medicine, Wenzhou City, Zhejiang Province, China
| | - Zhongyi Shi
- Department of Surgical Oncology, Wenzhou Hospital of Traditional Chinese Medicine, Wenzhou City, Zhejiang Province, China
| | - Xingdong Qiu
- Department of Orthopedics and Traumatology, Wenzhou Hospital of Traditional Chinese Medicine, No. 27, Dashimen, Xinhe Street, Lucheng District, Wenzhou City, Zhejiang Province, China.
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Li LL, Yu CF, Xie HT, Chen Z, Jia BH, Xie FY, Cai YF, Xue P, Zhu SJ. Biomarkers and factors in small cell lung cancer patients treated with immune checkpoint inhibitors: A meta-analysis. Cancer Med 2023. [PMID: 37161541 DOI: 10.1002/cam4.5800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 02/18/2023] [Accepted: 02/25/2023] [Indexed: 05/11/2023] Open
Abstract
OBJECTIVE The aim of this meta-analysis was to summarize the available results of immunotherapy predictors for small cell lung cancer (SCLC) and to provide evidence-based information for their potential predictive value of efficacy. METHODS We searched PubMed, EMBASE, Web of Science, The Cochrane Library, and ClinicalTrials (from January 1, 1975 to November 1, 2021). The hazard ratios (HR) and its 95% confidence intervals (CIs) and tumor response rate of the included studies were extracted. RESULTS Eleven studies were eventually included and the pooled results showed that programmed cell death ligand 1 (PD-L1) positive: objective response rate (ORR) (relative risk [RR] = 1.39, 95% CI [0.48, 4.03], p = 0.54), with high heterogeneity (p = 0.05, I2 = 56%); disease control rate [DCR] (RR = 1.31, 95% CI [0.04, 38.57], p = 0.88), with high heterogeneity (p = 0.04, I2 = 75%); overall survival (OS) (HR = 0.89, 95% CI [0.74, 1.07], p = 0.22); and progression-free survival (PFS) (HR = 0.83, 95% CI [0.59, 1.16], p = 0.27), with high heterogeneity (p = 0.005, I2 = 73.1%). TMB-High (TMB-H): OS (HR = 0.86, 95% CI [0.74, 1.00], p = 0.05); PFS (HR = 0.71, 95% CI [0.6, 0.85], p < 0.001). Lactate dehydrogenase (LDH) >upper limit of normal (ULN): OS (HR = 0.95, 95% CI [0.81, 1.11], p = 0.511). Asian patients: OS (HR = 0.87, 95% CI [0.72, 1.04], p = 0.135); White/Non-Asian patients: OS (HR = 0.83, 95% CI [0.76, 0.90], p < 0.001). Liver metastasis patients: OS (HR = 0.93, 95% CI [0.83, 1.05], p = 0.229); PFS (HR = 0.84, 95% CI [0.67, 1.06], p = 0.141). Central nervous system (CNS) metastasis patients: OS (HR = 0.91, 95% CI [0.71, 1.17], p = 0.474); PFS (HR = 1.03, 95% CI [0.66, 1.60], p = 0.903). CONCLUSION The available research results do not support the recommendation of PD-L1 positive and TMB-H as predictors for the application of immune checkpoint inhibitors (ICIs) in SCLC patients. LDH, baseline liver metastasis and CNS metastasis may be used as markers/influencing factors for predicting the efficacy of ICIs in SCLC patients. Non-Asian SCLC patients had better efficacy with ICIs in our results.
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Affiliation(s)
- Lin-Lu Li
- Department of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, 100102, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, 100029, Beijing, China
| | - Cheng-Feng Yu
- Department of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, 100102, Beijing, China
| | - Hong-Ting Xie
- Department of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, 100102, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, 100029, Beijing, China
| | - Zheng Chen
- Department of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, 100102, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, 100029, Beijing, China
| | - Bo-Hui Jia
- Beijing Sihui West District Hospital, 100082, Beijing, China
| | - Fei-Yu Xie
- Department of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, 100102, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, 100029, Beijing, China
| | - Ya-Fang Cai
- Department of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, 100102, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, 100029, Beijing, China
| | - Peng Xue
- Department of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, 100102, Beijing, China
| | - Shi-Jie Zhu
- Department of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, 100102, Beijing, China
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Guven DC, Sahin TK, Erul E, Rizzo A, Ricci AD, Aksoy S, Yalcin S. The association between albumin levels and survival in patients treated with immune checkpoint inhibitors: A systematic review and meta-analysis. Front Mol Biosci 2022; 9:1039121. [PMID: 36533070 PMCID: PMC9756377 DOI: 10.3389/fmolb.2022.1039121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/08/2022] [Indexed: 08/15/2023] Open
Abstract
Background: The albumin levels may potentially be used as a prognostic biomarker in patients with cancertreated with immune checkpoint inhibitors (ICIs) due to its close relationship with nutritional and inflammatory status. However, the available data is limited with heterogeneous patient cohorts, sample sizes and variable cut-offs. Therefore, we conducted a systematic review and meta-analysis to evaluate the association between survival outcomes and albumin levels in patients treated with ICIs. Methods: We conducted a systematic review using the PubMed, Web of Science, and Embase databases to filter the published studies up to 1 June 2022. The meta-analyses were performed with the generic inverse-variance method with a random-effects model due to the high degree of heterogeneity. The primary outcome measure was hazard ratio (HR) with 95% confidence intervals (CI). The study protocol was registered with the PROSPERO registry (Registration Number: CRD42022337746). Results: Thirty-six studies encompassing 8406 cancer patients with advanced disease were included in the meta-analyses. Almost half of the studies were conducted in NSCLC cohorts (n = 15), and 3.5 gr/dL was the most frequently used albumin cut-off in the included studies (n = 20). Patients with lower albumin levels had a significantly increased risk of death (HR: 1.65, 95% CI: 1.52-1.80, p < 0.0001) than patients with higher albumin levels. Subgroup analyses for study location, sample size, tumor type and albumin cut-off were demonstrated consistent results. Furthermore, in the subgroup analysis of eight studies using albumin levels as a continuous prognostic factor, every 1 gr/dL decrease in albumin levels was associated with significantly increased risk of death by a factor of 10% (HR: 1.10, 95% CI: 1.05-1.16, p = 0.0002). Similar to analyses with overall survival, the patients with lower albumin levels had an increased risk of progression or death compared to patients with higher albumin levels (HR: 1.76, 95% CI: 1.40-2.21, p < 0.001). Conclusion: The available evidence demonstrates that albumin levels may be a prognostic biomarker in advanced cancer patients treated with ICIs. Further research is needed to delineate the role of albumin levels in patients treated with ICIs in the adjuvant setting, as well as the possible benefit of therapeutic approaches to improve hypoalbuminemia.
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Affiliation(s)
- Deniz Can Guven
- Department of Medical Oncology, Hacettepe University Cancer Institute, Ankara, Turkey
| | - Taha Koray Sahin
- Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Enes Erul
- Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Alessandro Rizzo
- Struttura Semplice Dipartimentale di Oncologia Medica per La Presa in Carico Globale Del Paziente Oncologico “Don Tonino Bello”, Bari, Italy
| | - Angela Dalia Ricci
- Medical Oncology Unit, National Institute of Gastroenterology, “Saverio de Bellis” Research Hospital, Castellana Grotte, Italy
| | - Sercan Aksoy
- Department of Medical Oncology, Hacettepe University Cancer Institute, Ankara, Turkey
| | - Suayib Yalcin
- Department of Medical Oncology, Hacettepe University Cancer Institute, Ankara, Turkey
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Banna GL, Friedlaender A, Tagliamento M, Mollica V, Cortellini A, Rebuzzi SE, Prelaj A, Naqash AR, Auclin E, Garetto L, Mezquita L, Addeo A. Biological Rationale for Peripheral Blood Cell-Derived Inflammatory Indices and Related Prognostic Scores in Patients with Advanced Non-Small-Cell Lung Cancer. Curr Oncol Rep 2022; 24:1851-1862. [PMID: 36255605 DOI: 10.1007/s11912-022-01335-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/16/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW To describe the biological rationale of peripheral blood cells (PBC)-derived inflammatory indexes and assess the related prognostic scores for patients with advanced non-small cell lung cancer (aNSCLC) treated with immune-checkpoint inhibitors (ICI). RECENT FINDINGS Inflammatory indexes based on PBC may indicate a pro-inflammatory condition affecting the immune response to cancer. The lung immune prognostic index (LIPI), consisting of derived neutrophils-to-lymphocyte ratio (NLR) and lactate dehydrogenase, is a validated prognostic tool, especially for pretreated aNSCLC patients, where the combination of NLR and PD-L1 tumour expression might also be predictive of immunotherapy benefit. In untreated high-PD-L1 aNSCLC patients, the Lung-Immune-Prognostic score (LIPS), including NLR, ECOG PS and concomitant steroids, is prognostic, and its modified version might indicate patients with favourable outcomes despite an ECOG PS of 2. NLR times platelets (i.e., SII), included in the NHS-Lung score, might improve the prognostication for combined chemoimmunotherapy. PBC-derived inflammatory indexes and related scores represent accurate, reproducible and non-expensive prognostic tools with clinical and research utility.
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Affiliation(s)
| | - Alex Friedlaender
- Department of Oncology, Clinique Générale Beaulieu, Geneva, Switzerland
- Department of Oncology, University Hospital of Geneva, Geneva, Switzerland
| | - Marco Tagliamento
- Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genoa, Genoa, Italy
| | - Veronica Mollica
- Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138, Bologna, Italy
| | - Alessio Cortellini
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK
| | - Sara Elena Rebuzzi
- Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genoa, Genoa, Italy
- Medical Oncology Unit, Ospedale San Paolo, Savona, Italy
| | - Arsela Prelaj
- Medical Oncology Department 1, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
- Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Abdul Rafeh Naqash
- Medical Oncology/TSET Phase 1 Program, Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
| | - Edouard Auclin
- Medical Oncology, Hôpital Européen Georges Pompidou, AP-HP, Université Paris Cité, Paris, France
| | - Lucia Garetto
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy
| | - Laura Mezquita
- Medical Oncology Department, Hospital Clinic of Barcelona, Barcelona, Spain
- Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Alfredo Addeo
- Department of Oncology, University Hospital of Geneva, Geneva, Switzerland
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Yu Y, Bai Y, Zheng P, Wang N, Deng X, Ma H, Yu R, Ma C, Liu P, Xie Y, Wang C, Chen H. Radiomics-based prediction of response to immune checkpoint inhibitor treatment for solid cancers using computed tomography: a real-world study of two centers. BMC Cancer 2022; 22:1241. [PMID: 36451109 PMCID: PMC9710011 DOI: 10.1186/s12885-022-10344-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 11/21/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) represent an approved treatment for various cancers; however, only a small proportion of the population is responsive to such treatment. We aimed to develop and validate a plain CT-based tool for predicting the response to ICI treatment among cancer patients. METHODS Data for patients with solid cancers treated with ICIs at two centers from October 2019 to October 2021 were randomly divided into training and validation sets. Radiomic features were extracted from pretreatment CT images of the tumor of interest. After feature selection, a radiomics signature was constructed based on the least absolute shrinkage and selection operator regression model, and the signature and clinical factors were incorporated into a radiomics nomogram. Model performance was evaluated using the training and validation sets. The Kaplan-Meier method was used to visualize associations with survival. RESULTS Data for 122 and 30 patients were included in the training and validation sets, respectively. Both the radiomics signature (radscore) and nomogram exhibited good discrimination of response status, with areas under the curve (AUC) of 0.790 and 0.814 for the training set and 0.831 and 0.847 for the validation set, respectively. The calibration evaluation indicated goodness-of-fit for both models, while the decision curves indicated that clinical application was favorable. Both models were associated with the overall survival of patients in the validation set. CONCLUSIONS We developed a radiomics model for early prediction of the response to ICI treatment. This model may aid in identifying the patients most likely to benefit from immunotherapy.
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Affiliation(s)
- Yang Yu
- grid.411294.b0000 0004 1798 9345The Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China ,grid.32566.340000 0000 8571 0482The Second Clinical Medical College, Lanzhou University, Lanzhou, 730000 Gansu China
| | - Yuping Bai
- grid.32566.340000 0000 8571 0482The Second Clinical Medical College, Lanzhou University, Lanzhou, 730000 Gansu China ,grid.411294.b0000 0004 1798 9345Department of MR, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China
| | - Peng Zheng
- grid.411294.b0000 0004 1798 9345The Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China ,grid.32566.340000 0000 8571 0482The Second Clinical Medical College, Lanzhou University, Lanzhou, 730000 Gansu China
| | - Na Wang
- grid.411294.b0000 0004 1798 9345The Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China ,grid.32566.340000 0000 8571 0482The Second Clinical Medical College, Lanzhou University, Lanzhou, 730000 Gansu China
| | - Xiaobo Deng
- grid.411294.b0000 0004 1798 9345The Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China ,grid.32566.340000 0000 8571 0482The Second Clinical Medical College, Lanzhou University, Lanzhou, 730000 Gansu China
| | - Huanhuan Ma
- grid.411294.b0000 0004 1798 9345The Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China ,grid.32566.340000 0000 8571 0482The Second Clinical Medical College, Lanzhou University, Lanzhou, 730000 Gansu China
| | - Rong Yu
- grid.411294.b0000 0004 1798 9345The Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China ,grid.32566.340000 0000 8571 0482The Second Clinical Medical College, Lanzhou University, Lanzhou, 730000 Gansu China
| | - Chenhui Ma
- grid.411294.b0000 0004 1798 9345The Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China ,grid.32566.340000 0000 8571 0482The Second Clinical Medical College, Lanzhou University, Lanzhou, 730000 Gansu China
| | - Peng Liu
- grid.461867.a0000 0004 1765 2646Department of Radiology, Gansu Provincial Cancer Hospital, Lanzhou, 730050 Gansu China
| | - Yijing Xie
- grid.411294.b0000 0004 1798 9345Department of Radiology, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China
| | - Chen Wang
- grid.411294.b0000 0004 1798 9345Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China
| | - Hao Chen
- grid.411294.b0000 0004 1798 9345The Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, 730030 Gansu China
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10
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Rebuzzi SE, Prelaj A, Friedlaender A, Cortellini A, Addeo A, Genova C, Naqash AR, Auclin E, Mezquita L, Banna GL. Prognostic scores including peripheral blood-derived inflammatory indices in patients with advanced non-small-cell lung cancer treated with immune checkpoint inhibitors. Crit Rev Oncol Hematol 2022; 179:103806. [PMID: 36087850 DOI: 10.1016/j.critrevonc.2022.103806] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/28/2022] [Accepted: 09/05/2022] [Indexed: 10/31/2022] Open
Abstract
Peripheral blood inflammatory indices, like the neutrophil-to-lymphocyte ratio (NLR), may reflect the host's pro-inflammatory status and systemic immune response to cancer-related inflammation. We reviewed 22 combined prognostic scores based on peripheral blood-derived inflammatory indices for aNSCLC patients treated with single-agent or combination immune-checkpoint inhibitors (ICI) as first-line or subsequent therapy lines and attempted evidence strength assessment and scoring. The Lung Immune Prognostic Index (LIPI), consisting of derived NLR and LDH, was the most studied score with validated prognostic value in over five thousand aNSCLC ICI-naïve or pretreated patients. The combination of NLR and tumour programmed-cell-death-ligand1 (PD-L1) expression showed a predictive value. The Lung-Immune-Prognostic score (LIPS) might help identify patients with poor performance status but a favourable outcome following first-line ICI. These non-expensive scores can help clinicians discuss the prognosis with aNSCLC patients approaching ICI, identify those less likely to benefit from single-agent ICI and orient future clinical research.
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Affiliation(s)
- Sara Elena Rebuzzi
- Medical Oncology Unit, Ospedale San Paolo, Savona, Italy; Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genoa, Genoa, Italy
| | - Arsela Prelaj
- Medical Oncology Department 1, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy; Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Alex Friedlaender
- Department of Oncology, Clinique Générale Beaulieu, Geneva, Switzerland; Department of Oncology, University Hospital of Geneva, Geneva, Switzerland
| | - Alessio Cortellini
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK
| | - Alfredo Addeo
- Department of Oncology, University Hospital of Geneva, Geneva, Switzerland
| | - Carlo Genova
- Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genoa, Genoa, Italy; UOC Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Abdul Rafeh Naqash
- Medical Oncology/TSET Phase 1 Program, Stephenson Cancer Center, University of Oklahoma, Oklahoma City, USA
| | - Edouard Auclin
- Medical Oncology, Hôpital Européen Georges Pompidou, AP-HP, Université Paris Cité, Paris, France
| | - Laura Mezquita
- Medical Oncology Department, Hospital Clinic of Barcelona, Spain; Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Spain; Department of Medicine, University of Barcelona, Spain
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11
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Zhou K, Cao J, Lin H, Liang L, Shen Z, Wang L, Peng Z, Mei J. Prognostic role of the platelet to lymphocyte ratio (PLR) in the clinical outcomes of patients with advanced lung cancer receiving immunotherapy: A systematic review and meta-analysis. Front Oncol 2022; 12:962173. [PMID: 36059629 PMCID: PMC9437586 DOI: 10.3389/fonc.2022.962173] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 07/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background It remains controversial whether the platelet to lymphocyte ratio (PLR) serves as a potential indicator for the efficacy of immunotherapy in advanced lung cancer. This meta-analysis aimed to address this concern. Methods Up to March 2022, we searched PubMed, Embase, Web of Science and the Cochrane Library to retrieve potentially eligible articles. Combined hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated to assess the relationship between PLR and progression-free survival (PFS) as well as overall survival (OS), while the combined odds ratios (ORs) and 95% CIs were estimated to evaluate the relationship between PLR and the objective response rate (ORR) as well as the disease control rate (DCR). Subgroup analyses were further performed to detect the source of heterogeneity and potential predictive value of PLR in different groups in terms of OS and PFS. Results A total of 21 included studies involving 2312 patients with advanced lung cancer receiving immunotherapy were included. The combined results suggested that elevated PLR was associated with poorer OS (HR=2.24; 95% CI: 1.87-2.68; I² =44%; P=0.01) and PFS (HR=1.66; 95% CI: 1.36-2.04; I² =64%; P<0.01). Furthermore, elevated PLR showed a lower ORR (OR= 0.61; 95% CI: 0.43-0.87, I²=20%; P=0.29) and DCR (OR= 0.44; 95% CI: 0.27-0.72, I²=61%; P=0.02). In subgroup analyses, pretreatment PLR was significantly associated with adverse OS and PFS. The same results were observed in different PLRs in terms of cutoff value (>200 vs. ≤200). Furthermore, high PLR was significantly associated with poor OS and PFS in advanced non-small cell lung cancer (NSCLC); however, PLR was not associated with OS and PFS in advanced small cell lung cancer (SCLC). In addition, PLR predicted poor OS irrespective of regions and types of immune checkpoint inhibitors (ICIs). Conclusion On the whole, patients with low PLR had better OS and PFS, as well as higher ORR and DCR when receiving immunotherapy in advanced lung cancer especially for advanced NSCLC. And further investigations are warranted to confirm the prognostic value of PLR in advanced SCLC. Systematic Review Registration https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022315976.
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Affiliation(s)
- Ke Zhou
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
- Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu, China
| | - Jie Cao
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
- Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu, China
| | - Huahang Lin
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
- Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu, China
| | - Linchuan Liang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
- Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu, China
| | - Zhongzhong Shen
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Lei Wang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Zhiyu Peng
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
- Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu, China
| | - Jiandong Mei
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
- Western China Collaborative Innovation Center for Early Diagnosis and Multidisciplinary Therapy of Lung Cancer, Sichuan University, Chengdu, China
- *Correspondence: Jiandong Mei,
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12
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Wu JY, Kang K, Yi J, Yang B. Pembrolizumab-induced Stevens-Johnson syndrome in advanced squamous cell carcinoma of the lung: A case report and review of literature. World J Clin Cases 2022; 10:6110-6118. [PMID: 35949835 PMCID: PMC9254208 DOI: 10.12998/wjcc.v10.i18.6110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 12/24/2021] [Accepted: 04/30/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND For advanced lung squamous cell carcinoma, immune checkpoint inhibitors (ICIs) have been regarded as one of the optimal therapies. While immune-related adverse events (irAEs) are common in ICI treatment, cutaneous toxicities are among the most common irAEs. Most immune-related skin toxicity grades are low, and the prognosis is good. However, Stevens-Johnson syndrome (SJS) is a rare but extremely severe cutaneous adverse drug reaction with high mortality.
CASE SUMMARY We report a rare case of SJS induced by pembrolizumab. The case involved a 68-year-old female who was diagnosed with advanced squamous cell carcinoma of the lung. SJS appeared after one cycle of immunotherapy combined with chemotherapy. After treatment with prednisone hormone symptoms, anti-infection, gamma globulin, and antipruritic agents, the skin toxicity of the patients gradually decreased and eventually disappeared. Although the antitumor treatment was stopped due to serious adverse reactions, the tumor of the patient remained stable for nearly half a year after one cycle of immune therapy combined with chemotherapy, which also corroborates the delayed effect of immunotherapy.
CONCLUSION We believe our report can provide some references for the treatment of SJS and the treatment of immune-related adverse reactions.
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Affiliation(s)
- Jing-Yi Wu
- Department of Thoracic Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Techonology, Wuhan 430000, Hubei Province, China
| | - Kai Kang
- Department of Thoracic Oncology Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430070, Hubei Province, China
| | - Jing Yi
- Department of Thoracic Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Techonology, Wuhan 430000, Hubei Province, China
| | - Bin Yang
- Department of Thoracic Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Techonology, Wuhan 430000, Hubei Province, China
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13
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Wei S, Shao J, Wang J, Wang G. The preoperative hemoglobin, albumin, lymphocyte, and platelet score is a prognostic factor for non-small cell lung cancer patients undergoing adjuvant chemotherapy: a retrospective study. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:457. [PMID: 35571436 PMCID: PMC9096359 DOI: 10.21037/atm-22-1097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 03/23/2022] [Indexed: 11/06/2022]
Abstract
Background Developing a simple, reliable and low-cost biomarkers is crucial to predict the prognosis of non-small cell lung cancer (NSCLC) patients receiving adjuvant chemotherapy. The score combining hemoglobin and albumin levels and lymphocyte and platelet counts (HALP score) is reportedly related to the prognosis of multiple types of tumors. However, few studies have focused on its prognostic value in patients with NSCLC. Our study aimed to investigate the prognostic role of the HALP score and develop a valuable prognostic model for patients with NSCLC undergoing adjuvant chemotherapy. Methods A total of 362 individuals with NSCLC undergoing adjuvant chemotherapy between 2013 and 2015 were included. The HALP score was computed according to the following formula: hemoglobin (g/L) × albumin (g/L) × lymphocytes (g/L)/platelets (g/L). Furthermore, demographic characteristic, including age, sex, smoking status, and drinking history, were collected from case report forms at admission. The main outcomes were overall survival (OS) and disease-free survival (DFS), which were assessed using Kaplan-Meier analysis with log-rank test. Furthermore, Cox regression analysis was employed to assess the prognostic role of HALP in NSCLC. Results We found the significant associations of clinicopathological features, including sex, pathological stage, tumor size, and lymph node metastasis (LNMets) in univariate Cox regression analysis. In multivariate analysis, NSCLC patients with a high HALP score were significantly associated with lower OS [hazard ratio (HR): 0.707; 95% confidence interval (CI): 0.503-0.995] and DFS (HR: 0.671; 95% CI: 0.491-0.916). The Kaplan-Meier analysis showed that a low HALP score predicted poorer OS (P=0.02) and DFS (P<0.01) outcomes. Furthermore, we performed stratification analysis by tumor node metastasis (TNM) stage, and the result indicated a low HALP score predicted poor OS (P=0.01) and DFS (P=0.04) outcomes in stage III-IV NSCLC patients. Conclusions Our study demonstrated that the HALP score might be a suitable prognostic index for NSCLC patients undergoing adjuvant chemotherapy. Combining demographic and clinicopathological features with the HALP score may help clinicians predict survival and treatment outcomes.
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Affiliation(s)
- Sheng Wei
- Department of Radiotherapy, Affiliated Tumor Hospital of Nantong University, Nantong University, Nantong, China
| | - Jingjing Shao
- Central Laboratory, Affiliated Tumor Hospital of Nantong University, Nantong University, Nantong, China
| | - Jinming Wang
- Department of Oncology, Affiliated Tumor Hospital of Nantong University, Nantong University, Nantong, China
| | - Gaoren Wang
- Department of Radiotherapy, Affiliated Tumor Hospital of Nantong University, Nantong University, Nantong, China
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