The association between pan-immune-inflammation value and survival in head and neck squamous cell carcinoma

Güven, Deniz Can; Erul, Enes; Yılmaz, Feride Taşkın; Yasar, Serkan; Yıldırım, Hasan Çağrı; Ercan, Fatih; Kaygusuz, Yunus; Cayiroz, Kerim; Ucdal, Mete; Yesil, Furkan; Yazıcı, Gözde; Cengiz, Mustafa; Güllü, İbrahi̇m; Aksoy, Sercan

doi:10.1007/s00405-022-07804-x

Cited by 18 publications

(14 citation statements)

References 52 publications

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“…For those with oral and head and neck squamous cell carcinomas, the PIV could be useful in the form of an indicator for prediction, according to reports, but current research on head and neck tumors primarily focuses on laryngeal cancer patients. 34,35 Furthermore, it is unknown how important PWR is for prognosis in NPC patients. The current research provides preliminary proof of the predictive importance of PIV and PWR in patients with NPC.…”

Section: Discussionmentioning

confidence: 99%

Development and internal validation of a nomogram based on peripheral blood inflammatory markers for predicting prognosis in nasopharyngeal carcinoma

Lai,

Lin,

Zhuang

et al. 2024

Cancer Medicine

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BackgroundInflammatory markers, including the product of neutrophil count, platelet count, and monocyte count divided by lymphocyte count (PIV) and the platelet‐to‐white blood cell ratio (PWR), have not been previously reported as prognostic factors in nasopharyngeal carcinoma (NPC) patients. In order to predict overall survival (OS) in NPC patients, our goal was to create and internally evaluate a nomogram based on inflammatory markers (PIV, PWR).MethodsA retrospective study was done on patients who received an NPC diagnosis between January 2015 and December 2018. After identifying independent prognostic indicators linked to OS using Cox proportional hazards regression analysis, we created a nomogram with the factors we had chosen.ResultsA total of 630 NPC patients in all were split into training (n = 441) and validation sets (n = 189) after being enrolled in a population‐based study in 2015–2018 and monitored for a median of 5.9 years. In the training set, the age, PIV, and PWR, selected as independent predictors for OS via multivariate Cox's regression model, were chosen to develop a nomogram. Both training and validation cohorts had C‐indices of 0.850 (95% confidence interval [CI]: 0.768–0.849) and 0.851 (95% CI: 0.765–0.877). Furthermore, compared with traditional TNM staging, our nomogram demonstrated greater accuracy in predicting patient outcomes. The risk stratification model derived from our prediction model may facilitate personalized treatment strategies for NPC patients.ConclusionOur findings confirmed the prognostic significance of the PWR and PIV in NPC. High PIV levels (>363.47) and low PWR (≤36.42) values are associated with worse OS in NPC patients.

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Section: Discussionmentioning

confidence: 99%

Development and internal validation of a nomogram based on peripheral blood inflammatory markers for predicting prognosis in nasopharyngeal carcinoma

Lai,

Lin,

Zhuang

et al. 2024

Cancer Medicine

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“…Additionally, pairwise analysis demonstrated that PIV's predictive effect for CSFP was stronger than NLR, PLR, and SII. Due to its comprehensive properties, PIV has become widely recognized as an inflammatory marker for various oncological diseases [ 24 , 25 ]. Later, the prognostic role of PIV in other inflammatory diseases such as sepsis was demonstrated [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

Could Pan-Immune-Inflammation Value be a Marker for the Diagnosis of Coronary Slow Flow Phenomenon?

Kaplangoray,

Toprak,

Deveci

et al. 2024

Cardiovasc Toxicol

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Inflammation plays a key role in the pathogenesis of the coronary slow flow phenomenon (CSFP). The newly developed inflammatory marker, pan-immune-inflammation value (PIV), is associated with adverse cardiovascular events. This study investigated the predictive value of PIV for diagnosing CSFP in comparison to other inflammation-based markers. A total of 214 patients, 109 in the CSFP group and 105 in the normal coronary flow (NCF) group, were retrospectively included in the study. Coronary flow was calculated using the Thrombolysis in Myocardial Infarction frame count method. In addition to PIV, other inflammatory markers such as neutrophil–lymphocyte ratio, platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were calculated for the patients. The average age of patients was 50.3 ± 8.4, with a male ratio of 55.1%. Compared to the NCF group, patients in the CSFP group had higher levels of hyperlipidemia, glucose, triglyceride, NLR, PLR, SII, and PIV, while their high-density lipoprotein cholesterol (HDL-C), was lower (p < 0.05). Logistic regression analysis demonstrated that HDL-C, glucose, triglyceride, and PIV were independent predictor factors for CSFP (p < 0.05). PIV is a strong and independent predictor factor for CSFP and superior in predicting CSFP compared to other inflammatory markers.

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“…Peripheral blood leukocytes have been the parameters with more publications, mainly neutrophils and lymphocytes, but an increasing number of publications have shown the prognostic capacity of monocytes [4][5][6][7]11 && ,12,13 && ,19, [23][24][25][26]. The idea behind this is that neutrophils and monocytes would act as surrogate markers of a protumoral inflammatory status, therefore, a higher count of neutrophils and monocytes would be associated with a worse prognosis.…”

Section: Peripheral Blood Leukocytesmentioning

confidence: 99%

“…Additionally, an effort to combine both significant leukocytes and platelets has been made in the so-called pan-immune-inflammation value (PIV) index, which is calculated as: (neutrophils × monocytes × platelets)/lymphocytes. A higher PIV index has been associated with worse outcomes in multiple studies on patients with head and neck squamous cell carcinoma [11 ▪▪ ,12,51].…”

Section: Combined Indexesmentioning

confidence: 99%

“…Multiple authors have shown how patient variables such as age and comorbidities can influence outcomes [1,2]. But interestingly, there has been an increasing interest in using peripheral blood factors such as leukocytes, albumin or hemoglobin as surrogates of the host status in head and neck cancer patients [3–9,10 ▪▪ ,11 ▪▪ ,12,13 ▪▪ ,14–22]. Generally, these variables are gathered prior to treatment initiation.…”

Section: Introductionmentioning

confidence: 99%

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Host-related indexes in head and neck cancer

Valero,

León,

Quer

2023

Current Opinion in Otolaryngology &Amp; Head &Amp; Neck Surgery

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Purpose of review Peripheral blood host-related indexes have been widely studied in cancer patients. Several authors have shown the prognostic capacity of these indexes in head and neck cancer. Therefore, there has been an increasing interest in this topic recently. Recent findings The main variables analyzed and used to create these host-related indexes are peripheral blood leukocytes – including neutrophils, monocytes and lymphocytes – albumin and hemoglobin levels. Other factors with proven prognostic capacity in some studies are: platelets, C-reactive protein, and BMI. Among all the combined indexes, the neutrophil-to-lymphocyte ratio has been the most accepted and used worldwide. Nonetheless, there are other indexes which group multiple of these factors that have shown better prognostic capacity, and are promising in the near future. Summary Host-related indexes are ideal biomarkers to be used on our daily-basis. There is enough evidence to start considering them when assessing patients with head and neck cancer.

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The association between pan-immune-inflammation value and survival in head and neck squamous cell carcinoma

Cited by 18 publications

References 52 publications

Development and internal validation of a nomogram based on peripheral blood inflammatory markers for predicting prognosis in nasopharyngeal carcinoma

Development and internal validation of a nomogram based on peripheral blood inflammatory markers for predicting prognosis in nasopharyngeal carcinoma

Could Pan-Immune-Inflammation Value be a Marker for the Diagnosis of Coronary Slow Flow Phenomenon?

Host-related indexes in head and neck cancer

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