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Wang L, Li M, Dong T, Li Y, Yin C, Nie F. Pancreatic Ductal Adenocarcinoma: The Characteristics of Contrast-Enhanced Ultrasound Are Correlated with the Hypoxic Microenvironment. Diagnostics (Basel) 2023; 13:3270. [PMID: 37892091 PMCID: PMC10606620 DOI: 10.3390/diagnostics13203270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/13/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023] Open
Abstract
A hypoxic microenvironment is associated with an increased risk of metastasis, treatment resistance and poor prognosis of pancreatic ductal adenocarcinoma (PDAC). This study aimed to identify contrast-enhanced ultrasound (CEUS) characteristics that could predict the hypoxic microenvironment of PDAC. A total of 102 patients with surgically resected PDAC who underwent CEUS were included. CEUS qualitative and quantitative characteristics were analyzed. The expression of hypoxia-inducible factor-1α (HIF-1) and glucose transporter-1 (GLUT1) were demonstrated by immunohistochemistry. The associations between CEUS characteristics and the HIF-1α and GLUT1 expression of PDACs were evaluated. We found that HIF-1α-high PDACs and GLUT1-high PDACs had a larger tumor size and were more prone to lymph node metastasis. There was a significant positive linear correlation between the expression of HIF-1α and GLUT1. CEUS qualitative characteristics including completeness of enhancement and peak enhancement degree (PED) were related to the expression of HIF-1α and GLUT1. A logistic regression analysis showed that tumor size, lymph node metastasis, incomplete enhancement and iso-enhancement of PED were independent predictors for HIF-1α-high PDACs and GLUT1-high PDACs. As for quantitative characteristics, HIF-1α-high PDACs and GLUT1-high PDACs showed higher peak enhancement (PE) and wash-in rate (WIR). CEUS can effectively reflect the hypoxia microenvironment of PDAC, which may become a noninvasive imaging biomarker for prognosis prediction and individualized treatment.
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Affiliation(s)
- Lan Wang
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; (L.W.); (M.L.); (T.D.); (Y.L.); (C.Y.)
| | - Ming Li
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; (L.W.); (M.L.); (T.D.); (Y.L.); (C.Y.)
| | - Tiantian Dong
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; (L.W.); (M.L.); (T.D.); (Y.L.); (C.Y.)
- Gansu Province Clinical Research Center for Ultrasonography, Lanzhou 730030, China
| | - Yuanyuan Li
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; (L.W.); (M.L.); (T.D.); (Y.L.); (C.Y.)
| | - Ci Yin
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; (L.W.); (M.L.); (T.D.); (Y.L.); (C.Y.)
| | - Fang Nie
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; (L.W.); (M.L.); (T.D.); (Y.L.); (C.Y.)
- Gansu Province Clinical Research Center for Ultrasonography, Lanzhou 730030, China
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Liu P, Jiang Y, Zheng X, Pan B, Xiang H, Zheng M. Pretreatment Systemic Immune-Inflammation Index Can Predict Response to Neoadjuvant Chemotherapy in Cervical Cancer at Stages IB2-IIB. Pathol Oncol Res 2022; 28:1610294. [PMID: 35570842 PMCID: PMC9092215 DOI: 10.3389/pore.2022.1610294] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 04/12/2022] [Indexed: 12/09/2022]
Abstract
Background: The systemic immune-inflammation index (SII) has been identified as a predictor of chemotherapy efficacy for a variety of cancers, and we aimed to determine its ability to predict the response to chemotherapy and its long-term prognosis for patients with cervical squamous cell carcinoma (CSCC) who have underwent platinum-based neoadjuvant chemotherapy (NACT). Methods: The date from 210 patients (133 in the training cohort and 77 in the validation cohort) with CSCC who received NACT were analyzed retrospectively. The association between SII and the pathological complete response (pCR) was determined using Pearson’s chi-square test, receiver operating characteristic (ROC) curve, and Logistic regression analysis. The Kaplan-Meier method and Cox proportional regression model were used to assess the relationship between SII and progression-free survival (PFS) or overall survival (OS). Results: The calculated optimal SII cutoff values for pCR and survival were 568.7051 and 600.5683, respectively, and patients were divided into two groups: a low SII group (≤568.7051 or ≤600.5683) and a high SII group (>568.7051 or >600.5683). A high SII was associated significantly with a lower pCR. Further analysis determined that SII was a more efficient predictor of pCR than the prognostic nutritional index, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio. Upon multivariate logistic analysis, SII proved to be an independent risk factor to predict the pCR of patients with CSCC. Kaplan-Meier analysis demonstrated that PFS and OS rates were significantly higher in the low-SII group compared with those in the high-SII group. Additional multivariate analysis indicated that the SII is an independent prognostic factor for patients with CSCC treated with NACT. Conclusion: The results confirmed that the pre-treatment SII is not only an independent predictor of pCR but also an independent prognostic factor of CSCC patients treated with platinum based NACT.
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Affiliation(s)
- Pingping Liu
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yinan Jiang
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xiaojing Zheng
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Baoyue Pan
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Huiling Xiang
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Min Zheng
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
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Aziz MH, van Dongen JC, Saida L, Suker M, van Vugt JLA, van Putten Y, Sideras K, Groen JV, Mieog JSD, Lucassen CJ, Droop A, Mauff K, Shahbazi Feshtali S, Groot Koerkamp B, Mustafa DAM, van Eijck CJ. High Systemic Immune Inflammation Index Is Associated With Low Skeletal Muscle Quantity in Resectable Pancreatic Ductal Adenocarcinoma. Front Oncol 2022; 12:827755. [PMID: 35296013 PMCID: PMC8919513 DOI: 10.3389/fonc.2022.827755] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 02/02/2022] [Indexed: 12/12/2022] Open
Abstract
Background and Aims Failing immune surveillance in pancreatic ductal adenocarcinoma (PDAC) is related to poor prognosis. PDAC is also characterized by its substantial alterations to patients' body composition. Therefore, we investigated associations between the host systemic immune inflammation response and body composition in patients with resected PDAC. Methods Patients who underwent a pancreatectomy for PDAC between 2004 and 2016 in two tertiary referral centers were included. Skeletal muscle mass quantity and muscle attenuation, as well as subcutaneous and visceral adipose tissue at the time of diagnosis, were determined by CT imaging measured transversely at the third lumbar vertebra level. Baseline clinicopathological characteristics, laboratory values including the systemic immune inflammation index (SIII), postoperative, and survival outcomes were collected. Results A total of 415 patients were included, and low skeletal muscle mass quantity was found in 273 (65.7%) patients. Of the body composition indices, only low skeletal muscle mass quantity was independently associated with a high (≥900) SIII (OR 7.37, 95% CI 2.31-23.5, p=0.001). The SIII was independently associated with disease-free survival (HR 1.86, 95% CI 1.12-3.04), and cancer-specific survival (HR 2.21, 95% CI 1.33-3.67). None of the body composition indices were associated with survival outcomes. Conclusion This study showed a strong association between preoperative low skeletal muscle mass quantity and elevated host systemic immune inflammation in patients with resected PDAC. Understanding how systemic inflammation may contribute to changes in body composition or whether reversing these changes may affect the host systemic immune inflammation response could expose new therapeutic possibilities for improving patients' survival outcomes.
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Affiliation(s)
- Mohammad Hosein Aziz
- Department of Surgery, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Jelle C. van Dongen
- Department of Surgery, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Lawlaw Saida
- Department of Pathology, The Tumor Immuno-Pathology Laboratory, Erasmus, University Medical Center, Rotterdam, Netherlands
| | - Mustafa Suker
- Department of Surgery, Erasmus University Medical Center, Rotterdam, Netherlands
| | | | - Yordi van Putten
- Department of Surgery, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Kostandinos Sideras
- Divisions of Medical Oncology and Hematology, Mayo Clinic, Rochester, MN, United States
| | - Jesse V. Groen
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - J. Sven D. Mieog
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Claudia J. Lucassen
- Department of Dietetics, Leiden University Medical Center, Leiden, Netherlands
| | - Anneke Droop
- Department of Dietetics, Leiden University Medical Center, Leiden, Netherlands
| | - Katya Mauff
- Department of Biostatistics, Erasmus University Medical Centre, Rotterdam, Netherlands
| | | | - Bas Groot Koerkamp
- Department of Surgery, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Dana A. M. Mustafa
- Department of Pathology, The Tumor Immuno-Pathology Laboratory, Erasmus, University Medical Center, Rotterdam, Netherlands
| | - Casper J. van Eijck
- Department of Surgery, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Pathology, The Tumor Immuno-Pathology Laboratory, Erasmus, University Medical Center, Rotterdam, Netherlands
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