&lt;p&gt;Impact of Nutritional Indices on the Survival Outcomes of Patients with Colorectal Cancer&lt;/p&gt;

Hu, Zhengyu; Li, Yan; Mao, Weipu; Chen, Bin; Yang, Lin; Meng, Xiang-Ling

doi:10.2147/cmar.s243172

Cited by 13 publications

(6 citation statements)

References 28 publications

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“…Higher levels of PNI have been associated with favorable prognosis in lung [ 24 , 25 ], colorectal [ 30 ], breast [ 26 ], prostate [ 29 ], and cervical [ 21 ] cancers. Nonetheless, few reports have investigated the role of PNI in HNC, so far.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, PNI has also been recognized as an accurate parameter reflecting nutritional and inflammation status [ 19 ]. In the last few years, PNI has been extensively investigated as predictor of poor outcome in several types of cancer [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ], including HNC [ 31 , 32 , 33 , 34 ]. Although a number of studies have evaluated PNI in relation to treatment toxicity [ 35 , 36 , 37 , 38 ], only few ones focused on HNC [ 39 , 40 , 41 , 42 ].…”

Section: Introductionmentioning

confidence: 99%

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Prognostic Nutritional Index Predicts Toxicity in Head and Neck Cancer Patients Treated with Definitive Radiotherapy in Association with Chemotherapy

et al. 2021

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Background: The Prognostic Nutritional Index (PNI) is a parameter of nutritional and inflammation status related to toxicity in cancer treatment. Since data for head and neck cancer are scanty, this study aims to investigate the association between PNI and acute and late toxicity for this malignancy. Methods: A retrospective cohort of 179 head and neck cancer patients treated with definitive radiotherapy with induction/concurrent chemotherapy was followed-up (median follow-up: 38 months) for toxicity and vital status between 2010 and 2017. PNI was calculated according to Onodera formula and low/high PNI levels were defined according to median value. Odds ratio (OR) for acute toxicity were calculated through logistic regression model; hazard ratios (HR) for late toxicity and survival were calculated through the Cox proportional hazards model. Results: median PNI was 50.0 (interquartile range: 45.5–53.5). Low PNI was associated with higher risk of weight loss > 10% during treatment (OR = 4.84, 95% CI: 1.73–13.53 for PNI < 50 versus PNI ≥ 50), which was in turn significantly associated with worse overall survival, and higher risk of late mucositis (HR = 1.84; 95% CI:1.09–3.12). PNI predicts acute weight loss >10% and late mucositis. Conclusions: PNI could help clinicians to identify patients undergoing radiotherapy who are at high risk of acute and late toxicity.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prognostic Nutritional Index Predicts Toxicity in Head and Neck Cancer Patients Treated with Definitive Radiotherapy in Association with Chemotherapy

et al. 2021

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“…Previous studies have revealed that PNI is associated with the prognosis of oesophageal ( 32 ), gastric ( 33 ), and colorectal ( 34 ) cancer patients; PNI has also been used to predict oncological outcomes in HCC patients receiving immunotherapy ( 35 ) or hepatectomy ( 36 ). However, the predictive value of PNI in HCC patients receiving immunotherapy combined with targeted therapy remains to be elucidated.…”

Section: Discussionmentioning

confidence: 99%

Nomogram for tumour response based on prospective cohorts of hepatocellular carcinoma patients receiving immunotherapy combined with targeted therapy: development and validation

Chen¹,

Deng²,

Zhao³

et al. 2023

Ann Transl Med

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Background: Although immunotherapy combined with targeted therapy can be effective for hepatocellular carcinoma (HCC), not all HCC patients respond to this treatment. Models for predicting tumour response in HCC patients receiving immunotherapy combined with targeted therapy are lacking. Methods: A total of 221 HCC patients from two independent prospective cohorts were retrospectively reviewed. The patients were randomly divided into training and validation cohorts at a ratio of 7:3. Standard clinical data were collected from each patient, including age, sex, hepatitis B infection status, laboratory tests, and immune target-related adverse events (itrAEs). Tumour responses were evaluated using the Response Evaluation Criteria in Solid Tumours (RECIST) v1.1 guidelines. ItrAEs were assessed based on ^ ORCID: 0000-0003-0323-5190 the Common Terminology Criteria for Adverse Events version 4.0. The nomogram for tumour response prediction was constructed based on the results of the multivariate logistic regression analysis, areas under the receiver operating characteristic curves (AUROCs) were used to determine the sensitivity and specificity of the model, and calibration plots and Hosmer-Lemeshow chi-square tests were performed to assess the calibration of the model. Results: In the multivariate logistic regression analysis, a solitary tumour (P=0.006), neutropenia (P=0.003) and hypertension (P=0.042) independently predicted objective response (OR). A nomogram for OR was established with AUROCs of 0.734, 0.675, 0.730, and 0.707 in the training, validation, firstline and second-line treatment sets, respectively. Tumour sizes less than 5 cm (P=0.005), a solitary tumour (P=0.037), prognostic nutritional indices greater than or equal to 54.3 (P=0.037), neutropenia (P=0.004) and fatigue (P=0.041) independently predicted disease control (DC). A nomogram for DC was established with AUROCs of 0.804, 0.667, and 0.768 in the training, first-line and second-line treatment sets, respectively.All the Hosmer-Lemeshow tests and calibration curves showed acceptable calibration. Conclusions:The current provides clinicians with new insights into selecting patients for immunotherapy combined with targeted therapy and contributes to the development of immunotherapy for HCC. It is necessary to expand the scale of our research and perform prospective studies to verify our findings.

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“…PNI includes the measures of serum albumin and peripheral blood lymphocytes. Albumin, which constitutes up to 60% of plasma, is produced in the liver, reflects the nutritional status, is regulated by inflammatory cytokines and may play crucial roles in tumorigenesis and cancer progression ( 25 ). Serum albumin is positively correlated with the prognosis of colorectal cancer ( 26 ).…”

Section: Discussionmentioning

confidence: 99%

Prognostic Value of Combined Preoperative Carcinoembryonic Antigen and Prognostic Nutritional Index in Patients With Stage II–III Colon Cancer

Liu

Zhao

et al. 2021

Front. Surg.

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Background: Tumor status can affect patient prognosis. Prognostic nutritional index (PNI), as a nutritional indicator, is closely related to the prognosis of cancer. However, few studies have examined the combined prognostic value of CEA and PNI in patients. This study investigated the relationship between CEA/PNI and prognosis of colon cancer patients.Methods: A total of 513 patients with stage II–III colon cancer who underwent curative resection at two medical centers from 2009 to 2019 were included. Clinicopathological factors were assessed and overall survival (OS) was assessed in a cohort of 413 patients. Multivariate analysis was used to identify independent prognostic variables to construct histograms predicting 1-year and 3-year OS. Data from 100 independent patients in the validation group was used to validate the prognostic model.Results: The median OS time was 33.6 months, and mortality was observed in 54 patients. Multivariate analysis revealed that preoperative CEA/PNI, lymph node metastasis, peripheral nerve invasion, operation mode, and postoperative chemotherapy were independent factors for prognosis evaluation and thus were utilized to develop the nomogram. The C-index was 0.788 in the learning set and 0.836 in the validation set. The calibration curves reached favorable consensus among the 1-, 3-year OS prediction and actual observation.Conclusion: The combined use of CEA and PNI is an independent prognostic factor and thus can serve as a basis for a model to predict the prognosis of patients with stage II–III colon cancer.

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<p>Impact of Nutritional Indices on the Survival Outcomes of Patients with Colorectal Cancer</p>

Cited by 13 publications

References 28 publications

Prognostic Nutritional Index Predicts Toxicity in Head and Neck Cancer Patients Treated with Definitive Radiotherapy in Association with Chemotherapy

Prognostic Nutritional Index Predicts Toxicity in Head and Neck Cancer Patients Treated with Definitive Radiotherapy in Association with Chemotherapy

Nomogram for tumour response based on prospective cohorts of hepatocellular carcinoma patients receiving immunotherapy combined with targeted therapy: development and validation

Prognostic Value of Combined Preoperative Carcinoembryonic Antigen and Prognostic Nutritional Index in Patients With Stage II–III Colon Cancer

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