Prognostic value of combined inflammatory and nutritional biomarkers in HCC within the Milan criteria after hepatectomy

Feng, Hanxin; Xing, Feng; Zhao, Yang; Jin, Tianqiang; Li, Jianbo; Li, Rui; Zhou, Tianyi; Dai, Chaoliu

doi:10.3389/fonc.2022.947302

Cited by 8 publications

(4 citation statements)

References 45 publications

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“…On the other hand, other formulas have been developed starting from these inflammatory markers and other serum values, as nutritional indexes. This is the case of the Glasgow prognostic score (GPS) and the modified GPS, calculated from the CRP and the albumin level (47,48), the prognostic nutritional index (PNI) combining lymphocyte count and serum albumin (29,49) or the inflammation-immunitynutrition score (IINS), a combination of CRP, lymphocyte count and serum albumin level (30). All these equations, although not systematically integrated in clinical practice, have been widely described as factors of impaired survival in literature.…”

Section: Serum Inflammatory Markersmentioning

confidence: 99%

Inflammation-related prognostic markers in resected hepatocellular carcinoma

Giannone,

Slovic,

Pessaux

et al. 2023

Front. Oncol.

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Hepatocellular carcinoma is usually detected late and therapeutic options are unsatisfactory. Despite marked progress in patient care, HCC remains among the deadliest cancers world-wide. While surgical resection remains a key option for early-stage HCC, the 5-year survival rates after surgical resection are limited. One reason for limited outcomes is the lack of reliable prognostic biomarkers to predict HCC recurrence. HCC prognosis has been shown to correlate with different systemic and pathological markers which are associated with patient survival and HCC recurrence. Liver inflammatory processes offer a large variety of systemic and pathological markers which may be exploited to improve the reliability of prognosis and decision making of liver surgeons and hepatologists. The following review aims to dissect the potential tools, targets and prognostic meaning of inflammatory markers in patients with resectable HCC. We analyze changes in circulant cellular populations and assess inflammatory biomarkers as a surrogate of impaired outcomes and provide an overview on predictive gene expression signatures including inflammatory transcriptional patterns, which are representative of poor survival in these patients.

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Section: Serum Inflammatory Markersmentioning

confidence: 99%

Inflammation-related prognostic markers in resected hepatocellular carcinoma

Giannone,

Slovic,

Pessaux

et al. 2023

Front. Oncol.

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“…They can indicate the prognosis of patients with various tumors [9][10][11][12][13][14], such as pancreatic cancer, cervical cancer, thyroid cancer, gastric cancer, lung cancer, and esophageal cancer. Of course, it also includes HCC [15][16][17][18][19][20][21]. Not only that but also studies show that these inflammatory markers can help to identify and diagnose tumors at an early stage [22].…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Value of OPNI in Hepatocellular Carcinoma

Zhou

Yang

2023

Oncology

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Introduction: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world. The overall prognosis of patients with HCC is not very ideal. Early detection of HCC has become one of the important means to reduce mortality. More and more studies have pointed out that inflammatory markers based on hematology, such as Onodera’s prognostic nutritional index (OPNI), have important clinical significance. However, there is a lack of relevant research on the diagnosis of HCC by inflammatory markers. Methods: We retrospectively enrolled 633 patients and prospectively recruited 121 consecutive patients, to explore the correlation between inflammatory markers and diagnosis of HCC. Based on the prognostic indicators, different diagnostic models were constructed and the diagnostic performance of different models was further compared. Results: The best cutoff value of OPNI in the diagnosis of HCC is 43.925. Area under the receiver operating characteristics curve (AUC) of gender + age + AFP + OPNI diagnosis of HCC is 0.837 (95% CI: 0.702–0.868) in the retrospective cohort. Compared with gender + age + AFP, the Nagelkerke R2 of gender + age + AFP + OPNI increased from 0.234 to 0.426, and AUC increased by 0.0973 (95% CI: 0.0659–0.1290). DeLong test, net reclassification improvement (NRI) test, and integrated discrimination improvement (IDI) test are all statistically significant. In the prospective cohort, AUC of gender + age + AFP + OPNI diagnosis of HCC is 0.782 (95% CI: 0.696–0.869). Compared with gender + age + AFP, NRI test is statistically significant (categorical 0.0909 [95% CI: 0.0060–0.1759], p = 0.0359). Conclusion: In the process of monitoring the occurrence of HCC in patients with risk factors, OPNI can be included as appropriate to improve the accuracy of HCC diagnosis.

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“…Increasing evidence suggests that immune status, as well as inflammatory and nutritional status, affects the prognosis of malignant tumors 16 . It has been shown that inflammation markers, such as systemic immune‐inflammation index (SII), platelet–lymphocyte ratios (PLR), and neutrophil–lymphocyte ratio (NLR), are highly predictive of the outcomes of breast cancer, colorectal cancer, liver cancer, and other cancers 17–19 . The nutritional status of cancer patients also has an impact on the prognosis 20 .…”

Section: Introductionmentioning

confidence: 99%

“… 16 It has been shown that inflammation markers, such as systemic immune‐inflammation index (SII), platelet–lymphocyte ratios (PLR), and neutrophil–lymphocyte ratio (NLR), are highly predictive of the outcomes of breast cancer, colorectal cancer, liver cancer, and other cancers. 17 , 18 , 19 The nutritional status of cancer patients also has an impact on the prognosis. 20 Inflammatory factors and immunity in the body can be reflected more comprehensively by SII, which is a comprehensive index of neutrophil, platelet, and lymphocyte counts.…”

Section: Introductionmentioning

confidence: 99%

A novel nomogram and risk classification system based on inflammatory and immune indicators for predicting prognosis of pancreatic cancer patients with liver metastases

Peng,

Chen

2023

Cancer Medicine

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BackgroundThe study determined to construct a novel predictive nomogram to access the prognosis of pancreatic cancer patients with liver metastases (PCLM).MethodsMedical records included clinical and laboratory variables were collected. The patients were randomly divided into training and validation cohort. First, in the training cohort, the optimal cutoff value of SII, PNI, NLR, PLR were obtained. Then the survival analysis evaluated the effects of above indices on OS. Next, univariate and multivariate analyses were used to identify the independent factors of OS. Moreover, a nomogram was constructed based on LASSO cox analysis. Additionally, the predictive efficacy of the nomogram was evaluated by ROC curve and calibration curve in the training and validation cohort. Finally, a risk stratification system based on the nomogram was performed.ResultsA total of 472 PCLM patients were enrolled in the study. The optimal cutoff values of SII, PNI, PLR and NLR were 372, 43.6, 285.7143 and 1.48, respectively. By combing SII and PNI, named coSII‐PNI, we divided the patients into three groups. The Kaplan–Meier curves demonstrated above indices were correlated with OS. Univariate and multivariate analyses found the independent prognostic factors of OS. Through LASSO cox analysis, coSII‐PNI, PNI, NLR, CA199, CEA, chemotherapy and gender were used to construct the nomogram. Lastly, the ROC curve and calibration curve demonstrated that the nomogram can predict prognosis of PCLM patients. Significant differences were observed between high and low groups.ConclusionsThe nomogram based on immune, inflammation, nutritional status and other clinical factors can accurately predict OS of PCLM patients.

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Prognostic value of combined inflammatory and nutritional biomarkers in HCC within the Milan criteria after hepatectomy

Cited by 8 publications

References 45 publications

Inflammation-related prognostic markers in resected hepatocellular carcinoma

Inflammation-related prognostic markers in resected hepatocellular carcinoma

Diagnostic Value of OPNI in Hepatocellular Carcinoma

A novel nomogram and risk classification system based on inflammatory and immune indicators for predicting prognosis of pancreatic cancer patients with liver metastases

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