Pretreatment prognostic nutritional index is a significant predictor of prognosis in patients with cervical cancer treated with concurrent chemoradiotherapy

Prognostic value of platelet to lymphocyte ratio in patients with cervical cancer: an updated systematic review and meta-analysis

BACKGROUND

The identification of biomarkers that reliably forecast cervical cancer (CC) outcomes is a key area of research. Several studies have explored the link between the platelet-to-lymphocyte ratio (PLR) and cervical cancer prognosis, though the results are not entirely conclusive.

METHODS

PubMed, Embase, Web of Science, and the Cochrane Library were used to search, with studies published up to May 30, 2024. The selection of studies followed predetermined inclusion and exclusion criteria. Overall survival (OS), progression-free survival (PFS), and disease-free survival (DFS) were primary outcomes. Hazard ratios (HR) and 95% confidence intervals (CIs) were calculated. Sensitivity and subgroup analyses were performed to evaluate the stability and investigate potential heterogeneity. Review Manager version 5.4.1 and STATA version 15.0 were conducted to analyze.

RESULTS

Thirty cohort studies, involving 8,597 patients, were included. The pooled data showed that a higher PLR was associated with worse OS significantly (HR = 1.77, 95% CI: 1.43-2.19; p < 0.0001), PFS (HR = 1.69, 95% CI: 1.26-2.27; p = 0.0004), and DFS (HR = 1.57, 95% CI: 1.12-2.18; p = 0.008). Subgroup analysis indicated that the prognostic relevance of PLR was most prominent in patients who underwent both surgery and radiotherapy, as well as those from Asia and the America. Furthermore, a PLR threshold above 150 was associated with improved predictive accuracy.

CONCLUSION

Increased PLR among cervical cancer patients was significantly correlated with reduced OS, PFS, and DFS, pointing to its potential role as an independent prognostic marker. Nonetheless, additional prospective research is required to verify this finding.

Pre-treatment blood parameters as an economical predictive marker for predicting treatment response in locally advanced cervical cancer

Background

Cervical cancer poses a significant public health challenge, particularly in low and middle-income countries. Despite advancements in treatment, the disease remains a leading cause of cancer-related deaths among women globally. Chemoradiation utilizing cisplatin has been the cornerstone therapy for locally advanced cervical cancer. Prognostic biomarkers, including hematological parameters, have emerged as valuable tools in guiding treatment decisions and predicting outcomes.

Methodology

Data from patients treated between January 2021 and June 2022 were analyzed. Demographic information, histopathology, pre-treatment blood parameters, treatment details, and response assessments were collected. The parameters assessed included hemoglobin levels, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), prognostic nutritional index (PNI), and eosinophil albumin ratio (EAR). Receiver operating characteristic (ROC) curve analysis was conducted to determine optimal cut-off values for these biomarkers.

Results

Of the 140 patients included, the majority had squamous cell carcinoma (92%) and were at stage II or III. Complete response to treatment was observed in 86.4% of patients. Non-responders demonstrated significantly higher levels of hemoglobin, NLR, and EAR, along with lower PNI levels compared to responders. ROC analysis revealed cut-off values for hemoglobin (< 9.5), NLR (< 2.98), PLR (> 289.26), PNI (< 37.67), and EAR (< 49.63) associated with treatment response.

Conclusion

The study highlights the potential utility of pre-treatment blood parameters as predictive markers for treatment response in locally advanced cervical cancer. Lower hemoglobin, higher NLR, and EAR, along with reduced PNI, were associated with poorer treatment outcomes. Integration of these biomarkers into clinical practice could aid in treatment planning and improve patient outcomes. Further validation and prospective studies are warranted to establish the role of these biomarkers in guiding personalized treatment strategies for cervical cancer patients.

Integrating Novel and Classical Prognostic Factors in Locally Advanced Cervical Cancer: A Machine Learning-Based Predictive Model (ESTHER Study)

Background/Objective: This study aimed to assess the prognostic significance of pretreatment nutritional and systemic inflammatory indices (IIs), and body composition parameters in patients with locally advanced cervical cancer (LACC) treated with chemoradiation and brachytherapy. The goal was to identify key predictors of clinical outcomes, such as local control (LC), metastasis-free survival (MFS), disease-free survival (DFS), and overall survival (OS), using machine learning techniques. Materials and methods: A retrospective analysis of 173 patients with LACC treated between 2007 and 2021 was conducted. The study utilized machine learning techniques, including LASSO regression and Classification and Regression Tree (CART) analysis, to identify significant predictors of outcomes. Clinical data, tumor-related parameters, and treatment factors, along with IIs and body composition metrics (e.g., sarcopenic obesity), were incorporated into the models. Model performance was evaluated using ROC curves and AUC values. Results: Among 173 patients, hemoglobin (Hb) levels, ECOG performance status, and total protein emerged as primary prognostic indicators across multiple endpoints. For 2-year LC, patients with Hb > 11.9 g/dL had a rate of 95.1% compared to 73.6% in those with lower levels, with further stratification by ECOG status, ANRI, and total protein refining predictions. For 5-year LC, rates were 83.1% for Hb > 11.5 g/dL and 43.3% for lower levels. For 2-year MFS, ECOG 0 patients had an 88.1% rate compared to 73.8% for ECOG ≥ 1. In 2-year OS, Hb > 11.9 g/dL predicted a 95.1% rate, while ≤11.9 g/dL correlated with 74.0%. IIs (ANRI, SIRI, MLR) demonstrated predictive value only within specific patient subgroups defined by the primary prognostic indicators. The model showed strong predictive accuracy, with AUCs ranging from 0.656 for 2-year MFS to 0.851 for 2-year OS. Conclusions: These findings underscore the value of integrating traditional prognostic factors with emerging markers to enhance risk stratification in LACC. The use of machine learning techniques like LASSO and CART demonstrated strong predictive capabilities, highlighting their potential to refine individualized treatment strategies. Prospective validation of these models is warranted to confirm their utility in clinical practice.

Low pretreatment prognostic nutritional index predicts unfavorable survival in stage III-IVA squamous cervical cancer undergoing chemoradiotherapy

BACKGROUND

To investigate potential predictive factors and assess the utility of systemic inflammatory and nutritional indexes as prognostic indicators for survival in patients with FIGO stage III-IVA squamous cervical cancer (squamous HR-LACC) treated with concurrent chemoradiotherapy.

METHODS

We included consecutive patients with PET-CT diagnosed squamous HR-LACC undergoing curative chemoradiotherapy from November 2016 to April 2024. We systematically reviewed data pertaining to pretreatment clinicopathologic characteristics, hematological parameters, and treatment specifics. A range of composite inflammatory and nutritional indices were calculated, including the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammation index, systemic inflammation response index, pan-immune-inflammation value, and prognostic nutritional index (PNI). X-Tile software was utilized to establish optimal cut-off values based on progression-free survival (PFS). Both univariate and multivariate Cox regression analyses were conducted to identify factors associated with PFS and overall survival (OS).

RESULTS

Among 157 patients (median age 55) included, 136 had lymph node involvement, and 45 had para-aortic metastasis. After a median follow-up of 35 months, 47 patients had disease progression, and 22 died, yielding 3-year PFS and OS rates of 66.2% and 82.0%, respectively. Multivariate analysis revealed that low SCC-Ag (HR: 1.518, 95% CI: 1.067-2.159, p = 0.020), para-aortic lymph node involvement (HR: 1.864, 95% CI: 1.020-3.408, p = 0.043), and low PNI (HR: 1.477, 95% CI: 1.105-1.975, p = 0.009) were independently associated with worse PFS, whereas low PNI emerged as the sole independent risk factor for diminished OS (HR = 1.525, 95% CI: 1.002-2.323, p = 0.049).

CONCLUSIONS

PNI, a readily obtainable metric based on albumin and lymphocyte count, can serve as a predictor of survival in HR-LACC patients undergoing concurrent chemoradiotherapy. Further research is necessary to ascertain whether optimizing pretreatment nutritional status, a modifiable factor, can enhance outcomes in these high-risk patients.

Impact of the Prognostic Nutritional Index on the Development of Sialocele or Salivary Fistula, After Parotidectomy

PURPOSE

Sialocele or salivary fistula formation is common after parotidectomy. This study aims to evaluate the predictive value of the prognostic nutritional index in the development of salivary fistulas and sialoceles after parotidectomy.

METHODS

Patients who underwent parotidectomy at our clinic and were diagnosed with benign salivary gland masses were included in the study. Patients who developed postoperative sialoceles or salivary fistulas were identified. Various factors were assessed, including surgical technique, tumour size, gender, age, prognostic nutritional index, and the volume of the excised mass. Variables associated with sialocele or salivary fistula were later included in a multiple logistic regression model. Possible factors related to the formation of sialocele or salivary fistulas were analysed.

RESULTS

The study comprised 158 patients (95 male and 63 female). The frequency of sialocele or salivary fistula development was 13.9% (n = 22). The multiple logistic regression model found that the prognostic nutritional index(PNI) was linked to the occurrence of sialocele or salivary fistula (ORs = 0.9, 95% CI = [0.9], p = 0.003). Warthin tumour was associated with an elevated risk of sialocele or salivary fistula (ORs = 0.38, 95% CI = [0.184, 0.79], p = 0.009). ROC analysis demonstrated that the PNI had a specificity of 90% and a sensitivity of 68%. No significant associations were observed between the excised tumour size, surgical technique with the development of sialocele or salivary fistula.

CONCLUSION

Prognostic nutritional index can be utilised as an independent risk factor for the development of sialocele, or salivary fistula.

The Association of Preoperative Prognostic Nutritional Index With Survival Outcome in Ovarian Clear Cell Cancer

Background

The preoperative prognostic nutritional index (PPNI) has been investigated as a prognostic indicator in various cancers including epithelial ovarian cancer (EOC). However, its prognostic relevance in epithelial ovarian clear cell cancer (EOC-CC) remains uncertain. The objective of the study was to clarify the prognostic values of PPNI in EOC-CC patients.

Methods

We retrospectively reviewed 290 EOC-CC patients who underwent staging surgery at Rajavithi Hospital between January 2008 and December 2019. The PPNI was calculated using serum albumin × 10 (g/L) + 0.005 × peripheral blood lymphocyte count (per mm3). The association between PPNI and survival outcome was analyzed using the Kaplan-Meier method and the Cox proportional hazard model.

Results

The optimal cut-off value of PPNI, set at a mean of PPNI as 50, divided the EOC-CC patients into two groups: the low (n = 115) and the high (n = 175) PPNI group. With a median follow-up time of 63 months, patients with high PPNI exhibited significantly superior 5-year overall survival (OS) rates (76.4% vs. 56.8%, P = 0.004) and 5-year progression-free survival (PFS) rates (71.0% vs. 58.7%, P = 0.017) compared to patients with low PPNI. Univariate analysis revealed high PPNI correlated with increased OS (hazard ratio (HR): 0.51; 95% confidence interval (CI): 0.35 - 0.75) and PFS (HR: 0.63; 95% CI: 0.43 - 0.92). Nevertheless, in a multivariate analysis, high PPNI did not retain its status as an independent prognostic factor for a favorable prognosis in EOC-CC patients.

Conclusion

The present study did not confirm the prognostic significance of PPNI on survival outcomes in EOC-CC patients. Therefore, conducting prospective clinical research with large samples is necessary to illustrate the predictive values of PPNI in this rare disease.

Impact of immune, inflammatory and nutritional indices on outcome in patients with locally advanced cervical cancer treated with definitive (chemo)radiotherapy

OBJECTIVE

Systemic immune, inflammatory, and nutritional indices are prognostic across multiple tumor sites. Comprehensive analysis of these markers in patients with locally advanced cervical cancer (LACC) treated with definitive (chemo)radiotherapy [(C)RT] is limited and may assist with future prognostication.

METHODS

For this retrospective cohort study, patients with LACC treated with definitive (C)RT were identified from a comprehensive cancer center's clinicopathological database. Pre-treatment indices were derived including systemic immune-inflammation index (SII), platelet lymphocyte ratio (PLR), neutrophil lymphocyte ratio (NLR), monocyte lymphocyte ratio (MLR), albumin to alkaline phosphatase ratio (AAPR) and prognostic nutritional index (PNI). Univariate analysis was performed for PFS and OS. ROC curves were analyzed to determine optimal cut points. PFS and OS were assessed by the Kaplan-Meier method and Log-Rank test. Multivariate analysis was performed using Cox regression.

RESULTS

196 patients were identified: median follow-up 7 years (IQR 2-11). Higher SII (≤700 vs >700; p = 0.01), higher PLR (≤ 250 vs >250; p < 0.001) and higher NLR (≤ 5 vs >5; p = 0.003) were associated with worse PFS. Higher SII (≤700 vs >700: p = 0.02), higher PLR (≤ 250 vs >250: p < 0.001) and higher NLR (≤ 5 vs >5; p = 0.01) were associated with worse OS. On multivariate analysis, SII, NLR and PLR were independently associated with PFS. SII and PLR were independently associated with OS.

CONCLUSIONS

SII and PLR were independently associated with PFS and OS in patients with LACC treated with definitive (C)RT. NLR was independently associated with PFS. High inflammatory state is associated with shorter survival suggesting this as a target for interventions if validated in future studies.

Long-term analysis of hematological parameters as predictors of recurrence patterns and treatment outcomes in cervical cancer patients undergoing definitive chemoradiotherapy

PURPOSE

This study sought to determine the predictive and prognostic value of clinicopathological parameters and neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and hemoglobin (Hgb) level in predicting recurrence patterns and locoregional relapse-free survival (LRFS) and distant metastasis-free survival (DMFS) in cervical cancer patients receiving definitive chemoradiotherapy (ChRT).

METHODS

This study included 261 cervical cancer patients treated with ChRT. The primary endpoints were the predictors of local recurrence (LR) and distant metastasis (DM), whereas the secondary endpoints were LRFS and DMFS. The association of survival with potential prognostic factors was analyzed using Cox regression analysis, and the predictors of LR and DM were identified using logistic regression analysis.

RESULTS

The median follow-up time was 10.9 years. Recurrences occurred in 132 patients (50.6%) within a median of 11.2 months after definitive ChRT. NLR and PLR values were significantly higher in patients with LR and DM than in those without, with no significant differences in Hgb levels in patients with or without LR and DM. In the multivariable logistic regression analysis, lymph node metastasis, elevated NLR, and low Hgb level were significantly correlated with LR and DM. In the multivariable analysis, large tumor size, presence of lymph node metastasis, and elevated NLR were the independent predictors for poor LRFS and DMFS, and Hgb level was an additional prognostic factor for DMFS.

CONCLUSION

Hematological markers, particularly NLR and Hgb, may serve as cost-effective and readily accessible indicators for predicting recurrence and survival in cervical cancer patients, contributing to their practical use in routine assessments.

Prognostic significance of systemic pan-immune-inflammation value in locally advanced cervical cancer

Objective

This study investigates the significance of systemic pan-immune inflammation value (PIV) prior to concurrent chemoradiotherapy (CCRT) in predicting the therapeutic efficacy as well as prognosis of patients with locally advanced cervical squamous cell carcinoma.

Methods

A retrospective analysis was conducted on the clinical data of 847 patients with locally advanced cervical cancer (LACC) treated at the Second Hospital of Jilin University between 2016 and 2020. All patients underwent radical CCRT, including platinum-based sensitizing chemotherapy. The PIV was measured as given by: (platelet count × neutrophil count × monocyte count)/lymphocyte count. Logistic regression analysis was utilized to study the effect of PIV on therapeutic response in LACC patients and Kaplan-Meier survival together with Cox proportional hazard model to assess its impact on prognosis.

Results

With the therapeutic effect as the endpoint, the optimal cutoff of PIV (356.0099) was signified via the receiver operating characteristics curve, and patients were grouped and compared based on this value. PIV was determined as an independent predictor of the therapeutic effect in CCRT for LACC (hazard ratio (HR) 1.696, 95% confidence interval (CI) 1.111-2.590). PIV was also an independent predictor of overall survival (OS) (HR 0.540, 95% CI 0.409-0.713, p<0.001) as well as disease-free survival (DFS) (HR 0.680, 95% CI 0.528-0.876, p=0.003). Compared to the low-PIV group, it was noted that individuals with a high PIV exhibited a poorer therapeutic effect and shorter OS and DFS.

Conclusion

Patients with LACC and high PIV had poorer therapeutic outcomes and shorter OS and DFS. Our results may provide PIV as a new prognostic biomarker for LACC, if future prospective studies with large patient numbers support our findings.

Predictive value of prognostic nutritional index for outcomes of cervical cancer: A systematic review and meta‑analysis

Cervical cancer is a major global health concern. Prognostic markers for cervical cancer have traditionally focused on tumor characteristics. However, there is a growing recognition of the importaxnce of the nutritional status of the patient as a possible prognostic indicator. The present meta-analysis aims to estimate the role of the prognostic nutritional index (PNI) in predicting overall survival (OS) and progression-free survival (PFS) in patients with cervical cancer. Medline, Google Scholar, Science Direct and Cochrane Central databases were systematically searched for studies reporting PNI in patients with cervical cancer. Inclusion criteria were applied to select relevant studies and data extraction was performed by two independent investigators. Risk of bias was assessed by the Newcastle-Ottawa Scale (NOS). The present meta-analysis included 10 studies with 2,352 participants. The pooled analysis showed that in patients with cervical cancer PNI did not have a significant prognostic utility in predicting OS [univariate hazard ration (HR): 1.38; 95% confidence interval (CI): 0.77-2.48) or PFS (univariate HR: 1.12; 95% CI: 0.44-2.68). These results were consistent even after adjusting for other confounders using multivariate analysis (pooled HR: 1.06 for OS; 95% CI: 0.64-1.76; pooled HR: 1.22 for PFS; 95% CI: 0.65-2.30). Subgroup analyses were also performed based on region, PNI cut-off, sample size, grade of evidence and treatment protocol and did not demonstrate any significant prognostic value of PNI. The funnel plot demonstrated symmetry, suggesting the absence of publication bias. The present meta-analysis indicated that PNI does not have a significant prognostic utility in predicting OS or PFS in women with cervical cancer. Further research is warranted to explore alternative nutritional indicators and identify reliable prognostic markers in this patient population.

Investigating and Analyzing Prognostic Factors and Their Impact on Recurrent Cervical Cancers

The incidence of cervical cancer in India is significantly high, and the average recurrence age is much less. The standard line of treatment consists of concurrent chemoradiotherapy. If a recurrence occurs, the treatment options or set of interventions are limited and suboptimal. Through this review, we have analyzed and classified the possible prognostic factors for cervical cancer into three broad categories, viz., (a) disease-related factors, (b) patient-related factors, and (c) treatment-related factors. Disease-related factors include tumor histology, tumor size, stage, parametrial involvement (PMI), Prognostic Nutritional Index (PNI), lymphovascular space invasion (LVSI), and nodal status. Patient-related factors include overall treatment time (OTT), nutritional status, hemoglobin level, comorbidities, and age. Treatment-related factors include addition of chemotherapy, techniques of external beam radiotherapy (EBRT), techniques of brachytherapy, and quality assurance for radiation therapy delivery. Out of these, extremely significant prognostic factors were tumor size and stage, nodal status, PMI, nutritional status, and addition of chemotherapy. Impactful factors include younger age, histology, LVSI, associated comorbidities, hemoglobin level, OTT, and patient-specific quality assurance. The factor that is not related or significant is the technique used for EBRT and brachytherapy delivery.

Prognostic nutritional index and neutrophil-lymphocyte ratio predict toxicities and prognosis in patients with cervical cancer treated with curative radiochemotherapy

BACKGROUND

This study aimed to investigate the influence of immunonutritional factors on treatment-related toxicities and survival outcomes in patients with cervical cancer undergoing definitive radiochemotherapy.

METHODS

Patients with cervical cancer who received curative radiochemotherapy between 2016 and 2021 were retrospectively investigated. Pretreatment prognostic nutritional index (PNI), neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), and platelet-lymphocyte ratio (PLR) were measured. Survival outcomes, acute and late toxicities were evaluated.

RESULTS

Among the 138 patients, those with larger tumor diameters had significantly lower pre-treatment PNI (p = 0.005). Pre-treatment immunonutritional factors were predictive of clinical survival, whereas post-treatment factors did not correlate with prognosis. Patients with low pre-treatment PNI (<49.5) or high NLR (>2.4) had shorter progression-free survival (PFS, HR: 1.86, p = 0.045 for PNI; HR: 3.15, p = 0.002 for NLR) and overall survival (OS, HR: 1.80, p = 0.048 for PNI; HR: 3.83, p = 0.015 for NLR). High pre-treatment NLR was associated with an increased risk of acute diarrhea (p = 0.049) and late severe toxicities (p = 0.046). Combined analysis revealed that pre-treatment good nutritional status and low systemic inflammation were linked to longer PFS (p = 0.007) and OS (p = 0.002), and poor nutritional status and substantial systemic inflammation were associated with higher rates of late severe toxicities (p = 0.036), with higher prognostic value in advanced stage patients.

CONCLUSION

Pretreatment immunonutritional measures serve as quantitative biomarkers for predicting survivals and treatment toxicities in patients with cervical cancer treated with definitive radiochemotherapy.

Quality of life but not cachexia definitions are associated with overall survival in women with cervical cancer: a STROBE-compliant cohort study

BACKGROUND

Cancer-related cachexia (CRC) has a profound impact on health-related quality of life (HRQL), and both were reported to be associated with overall survival (OS). We hypothesize that HRQL and CRC are associated with OS. This study analyzed the impact of CRC on HRQL and its prognostic value in women with cervical cancer (CC).

METHODS

A cohort study including consecutive women with CC treated from October 2020 to October 2021 in a cancer center. Cox's model defined the associations of immune, biochemical and nutritional parameters, clinical cachexia classifications and HRQL with OS.

RESULTS

Two hundred forty-four consecutive women with CC were included. Cachexia classifications and several scales of the QLQ-C30 were associated with OS by bivariate but not by multivariate analysis. QLQ-CX24 scales were not associated with OS. The prognostic nutritional index (PNI) (hazard ratio (HR) 0.828; 95% confidence interval (CI) 0.766-0.896), Food aversion (HR 0.95; 95% CI 0.924-0.976), Eating difficulties (HR 1.041; 95% CI 1.013-1.071), Loss of control (HR 4.131; 95% CI 1.317-12.963), Forced self to eat (1.024; 95% CI 1.004-1.044) and Indigestion (HR 0.348; 95% CI 0.131-0.928) scales of the QLQ-CAX24 were independently associated with OS by multivariate analysis (p = 1.9×10-11).

CONCLUSION

This model permitted a clear stratification of prognostic subgroups. The PNI and several QLQ-CAX24 scales were associated with OS in women with CC. CRC, defined by several cachexia classifications, was not an independent prognostic factor. These findings require confirmation because of their possible diagnostic, therapeutic and prognostic implications.The prognostic nutritional index and several QLQ-CAX24 scales were associated with overall survival in women with cervical cancer. Cancer-related cachexia, defined by several cachexia classifications, was not an independent prognostic factor, neither The International Federation of Gynecology and Obstetrics (FIGO) stage classifications.

Sarcopenic Obesity in Cervical Carcinoma: A Strong and Independent Prognostic Factor beyond the Conventional Predictors (ESTHER Study-AFRAID Project)

Locally advanced cervical cancer represents a significant treatment challenge. Body composition parameters such as body mass index, sarcopenia, and sarcopenic obesity, defined by sarcopenia and BMI ≥ 30 kg/m2, have been identified as potential prognostic factors, yet their overall impact remains underexplored. This study assessed the relationship between these anthropometric parameters alongside clinical prognostic factors on the prognosis of 173 cervical cancer patients. Survival outcomes in terms of local control (LC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS) were analyzed using Kaplan regression methods-Meier and Cox. Older age, lower hemoglobin levels, higher FIGO (International Federation of Gynecology and Obstetrics) stages, and lower total radiation doses were significantly associated with worse outcomes. Univariate analysis showed a significant correlation between BMI and the outcomes examined, revealing that normal-weight patients show higher survival rates, which was not confirmed by the multivariate analysis. Sarcopenia was not correlated with any of the outcomes considered, while sarcopenic obesity was identified as an independent negative predictor of DFS (HR: 5.289, 95% CI: 1.298-21.546, p = 0.020) and OS (HR: 2.645, 95% CI: 1.275-5.488, p = 0.009). This study highlights the potential of sarcopenic obesity as an independent predictor of clinical outcomes. These results support their inclusion in prognostic assessments and treatment planning for patients with advanced cervical cancer.

Preoperative controlling nutritional status as an optimal prognostic nutritional index to predict the outcome for colorectal cancer

BACKGROUND

The controlling nutritional status (CONUT) score effectively reflects a patient's nutritional status, which is closely related to cancer prognosis. This study investigated the relationship between the CONUT score and prognosis after radical surgery for colorectal cancer, and compared the predictive ability of the CONUT score with other indexes.

AIM

To analyze the predictive performance of the CONUT score for the survival rate of colorectal cancer patients who underwent potentially curative resection.

METHODS

This retrospective analysis included 217 patients with newly diagnosed colorectal. The CONUT score was calculated based on the serum albumin level, total lymphocyte count, and total cholesterol level. The cutoff value of the CONUT score for predicting prognosis was 4 according to the Youden Index by the receiver operating characteristic curve. The associations between the CONUT score and the prognosis were performed using Kaplan-Meier curves and Cox regression analysis.

RESULTS

Using the cutoff value of the CONUT score, patients were stratified into CONUT low (n = 189) and CONUT high groups (n = 28). The CONUT high group had worse overall survival (OS) (P = 0.013) and relapse-free survival (RFS) (P = 0.015). The predictive performance of CONUT was superior to the modified Glasgow prognostic score, the prognostic nutritional index, and the neutrophil-to-lymphocyte ratio. Meanwhile, the predictive performances of CONUT + tumor node metastasis (TNM) stage for 3-year OS [area under the receiver operating characteristics curve (AUC) = 0.803] and 3-year RFS (AUC = 0.752) were no less than skeletal muscle mass index (SMI) + TNM stage. The CONUT score was negatively correlated with SMI (P < 0.01).

CONCLUSION

As a nutritional indicator, the CONUT score could predict long-term outcomes after radical surgery for colorectal cancer, and its predictive ability was superior to other indexes. The correlation between the CONUT score and skeletal muscle may be one of the factors that play a predictive role.

Nutritional index in relation to prognosis of endometrial cancer

Objective: Evaluate the prognostic value of the prognostic nutritional index (PNI) in patients with endometrial cancer (EC). Method: Laboratory and clinicopathological data from 370 patients who were diagnosed with EC between January 2010 and December 2021 were reviewed. The PNI was analyzed for correlations with recurrence and survival. The receiver operating characteristic curves were generated for the PNI. Optimal cut-off values were determined as the points at which the Youden index (sensitivity + specificity - 1) was maximal. Based on the results of the ROC curve analysis, the patients were grouped into high and low PNI groups. Differences in the clinicopathological characteristics between patients with high and low PNI were compared between the two groups. The effects of the prognostic factors were analyzed using univariate and multivariate Cox proportional hazards model. Results: The optimal cutoff value of the PNI was 52.74 for DFS (area under the curve: 0.817; 95% CI: 0.738-0.858, p <0.001). Significantly more patients in the low PNI group experienced recurrence (30.6% vs. 5.2%, p <0.001) and cancer-related death (17.8% vs. 2.8%, p <0.001). In multivariate analysis, PNI were independent prognostic factors for both DFS and overall survival OS. Conclusion: Low PNI was significantly associated with worse clinical outcomes in patients with EC. Our findings demonstrate that the PNI may be clinically reliable and useful as a prognostic marker for patients with EC. Further large-scale prospective studies are needed to confirm our findings.

Value of preoperative controlling nutritional status score in prognosis of patients with high-risk factors for early-stage cervical cancer

Objective

To investigate whether the preoperative controlling nutritional status (COUNT) score is a prognostic factor of patients with high-risk factors for early-stage cervical cancer after surgery and concurrent chemoradiotherapy (CCRT).

Methods

This was a retrospective study. From July 2017 to March 2021, a total of 354 patients with histologically confirmed FIGO stage IB-IIA cervical cancer undergoing surgery and postoperative CCRT were included at Hunan University of Medicine General Hospital, China. According to receiver operating characteristic (ROC) curve analysis, the patients were divided into a low CONUT score (< 3) group and a high CONUT score (≥ 3) group. Overall survival (OS) was used as the primary outcome measure and disease-free survival (DFS) as the secondary outcome measure.

Results

Among the 354 patients, 239(67.5%) were included in the low CONUT score group and 115 (32.5%) in the high CONUT score group. The 3, 5 and 10-year OS rates in the low CONUT score group and high CONUT score group were respectively presenting statistically significant differences (p<0.001). The 3, 5 and 10-year DFS rates in the low CONUT score group and in the high CONUT score group were respectively with statistically significant differences (p<0.001). Multivariate Cox regression analysis showed that CONUT score, histological type, PNI and lymph node metastasis were all independent predictors for OS and DFS (all p<0.05).

Conclusion

High preoperative CONUT score indicates poor prognosis of patients with high-risk factors for early-stage cervical cancer after surgery and postoperative CCRT. In clinical practice, consolidation chemotherapy is recommended for patients with high CONUT scores.

Correlation of Hematological Parameters With Clinical Outcomes in Cervical Cancer Patients Treated With Radical Radio(chemo)therapy: A Retrospective Study

PURPOSE

Variations in the levels of systemic inflammatory biomarker levels have been linked with outcomes in various malignancies including cervical cancer. In this study, we investigated prognostic implications of pretreatment hematological factors/indices in locally advanced cervical cancers treated with radical radio(chemo)therapy.

METHODS AND MATERIALS

Electronic medical records of 1051 patients with cervical cancer of FIGO (International Federation of Gynecology and Obstetrics) stage IB2-IVA treated in various prospective trials at our institute between 2003 and 2017 were reviewed. All clinical parameters such as age (dichotomized at the median), stage (IB2-IIB vs III-IVA), histologic type (squamous vs others), and hematological parameters (hemoglobin, platelets, absolute neutrophil count, absolute lymphocyte count, absolute monocyte count) were recorded. Neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and prognostic nutritional index (PNI; defined as 10 × albumin concentration [g/dL] + 0.005 × total lymphocyte count [μL]) were calculated. Univariate and multivariate (Cox regression) analyses were performed to evaluate these factors with disease-free survival (DFS) and overall survival (OS).

RESULTS

With a median follow-up of 69 months, the 5-year DFS and OS were 65% and 69%, respectively. On multivariate analysis, FIGO stage (hazard ratio [HR], 1.9; P = .000) and PLR (HR, 1.002; P = .008) significantly affected DFS while FIGO stage (HR, 1.804; P = .000), LMR (HR, 0.92; P = .018), PNI (HR, 0.96; P = .013), and PLR (HR, 1.002; P = .006) significantly affected OS. Apart from FIGO stage, PLR significantly affected both DFS and OS. This correlation of hematological parameters is stronger in stage IIIB cervical cancer.

CONCLUSIONS

Hematological indices, including PNI, PLR, and LMR, can serve as reliable prognostic indicators for patients with cervical cancer. By incorporating these indices into routine assessment and monitoring, clinicians can better stratify patients, personalize treatment plans, and more accurately predict outcomes, ultimately improving patient care and management.

Prognostic and clinicopathological effect of the prognostic nutritional index (PNI) in patients with cervical cancer: a meta-analysis

BACKGROUND

Numerous studies have explored whether the prognostic nutritional index (PNI) can predict the prognosis of cervical cancer (CC); however, their findings remain controversial. This meta-analysis focused on evaluating the relationship between the PNI and the prognosis of patients with CC.

METHODS

Relevant articles were collected from specific databases up to March 16, 2023. The relationship between the PNI and survival outcomes in patients with CC was estimated using combined hazard ratios (HRs) and associated 95% confidence intervals (CIs). The association of the PNI with clinicopathological features in patients with CC was assessed by combining odds ratios (ORs) and associated 95% CIs.

RESULTS

Nine articles with 2508 cases were included in the meta-analysis. According to our pooled findings, a decreased PNI showed a significant association with worse overall survival (OS) (HR = 2.98, 95% CI = 2.22-3.99, p < .001) as well as progression-free survival (PFS) (HR = 2.43, 95% CI = 1.92-3.07, p < .001) in patients with CC. The subgroup analysis indicated that the results were reliable. Moreover, the decreased PNI showed a significant association with the presence of lymph node metastasis (LN metastasis, OR = 1.53, 95% CI = 1.04-82.24, p = .030) and maximum tumor size >4 cm (OR = 1.73, 95% CI = 1.21-2.46, p = .002). However, the PNI was not significantly associated with histology, differentiation, or FIGO stage.

CONCLUSION

In this study, a low PNI predicted dismal OS and PFS in patients with CC, who also tend to suffer from LN metastasis and larger tumor size. PNI is a promising biomarker for predicting the prognosis of patients with CC in clinical practice.

Prognostic Value of Body Composition and Systemic Inflammatory Markers in Patients with Locally Advanced Cervical Cancer Following Chemoradiotherapy

Background

Abnormal changes in body composition and systemic inflammation response have been associated with poor survival of cancer patients. Our study was to explore the prognostic value of the association between body composition indicators and systemic inflammation markers among patients with locally advanced cervical cancer (LACC) who underwent concurrent chemoradiotherapy (CCRT).

Methods

We retrospectively reviewed medical records of LACC patients treated between 2016 and 2019. Subcutaneous, visceral and intra-muscular adipose index (SAI, VAI and IMAI) and skeletal muscle index (SMI) were derived from computed tomography (CT). Kaplan-Meier analysis and Univariate and multivariate Cox analyses were used to evaluate the survival. A nomogram was constructed to assess the prognostic value.

Results

The study included 196 patients treated with CCRT. According to multivariable Cox analyses, IIIC1r (P = 0.045), high systemic immune-inflammation index (SII) (P = 0.004), sarcopenia (P = 0.008), high SAI (P = 0.016) and high VAI (P = 0.001) were significantly risk factors for overall survival (OS). Kaplan-Meier analysis showed that patients with low lymphocyte-to-monocyte ratio (LMR) and sarcopenia had longer OS than those with high LMR and sarcopenia (P = 0.023). The high neutrophil-to-lymphocyte ratio (NLR) in non-sarcopenic patients showed better survival (P = 0.022). Low VAI (P = 0.019) or low IMAI (P = 0.019) combined with low SII had a favorable OS. Low LMR combined with low SAI was associated with longer OS (P = 0.022). The calibration plots of nomogram predicting the 3-year and 5-year OS rates were close to the ideal models.

Conclusion

Inflammation factors were closely associated with abnormal muscle and fat distribution. The combined prognostic value of body composition indicators and systemic inflammation markers was reliable in predicting survival for LACC patients.

Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study)

Locally advanced cervical cancer (LACC) is treated with concurrent chemoradiation (CRT). Predictive models could improve the outcome through treatment personalization. Several factors influence prognosis in LACC, but the role of systemic inflammation indices (IIs) is unclear. This study aims to assess the correlation between IIs and prognosis in a large patient cohort considering several clinical data. We retrospectively analyzed pretreatment IIs (NLR, PLR, MLR, SII, LLR, COP-NLR, APRI, ALRI, SIRI, and ANRI) in 173 LACC patients. Patient, tumor, and treatment characteristics were also considered. Univariate and multivariate Cox's regressions were conducted to assess associations between IIs and clinical factors with local control (LC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS). Univariate analysis showed significant correlations between age, HB levels, tumor stage, FIGO stage, and CRT dose with survival outcomes. Specific pretreatment IIs (NLR, PLR, APRI, ANRI, and COP-NLR) demonstrated associations only with LC. The multivariate analysis confirmed Hb levels, CRT dose, and age as significant predictors of OS, while no II was correlated with any clinical outcome. The study findings contradict some prior research on IIs in LACC, emphasizing the need for comprehensive assessments of potential confounding variables.

Diagnostic value of CA125, HE4, and systemic immune-inflammation index in the preoperative investigation of ovarian masses

This study aimed to ascertain the diagnostic accuracy of CA125, HE4, systemic immune-inflammation index (SII), fibrinogen-to-albumin ratio (FAR), prognostic nutritional index (PNI), and their combination for ovarian cancer (OC) to discover an optimal combined diagnostic index for early diagnosis of OC. A thorough investigation was conducted to ascertain the correlation between these markers and the pathological characteristics of OC, thereby providing a foundation for early identification and treatment of this disorder. One hundred seventy patients with documented OC and benign ovarian tumors (BOTs) treated at Hebei General Hospital between January 2019 and December 2022 were included in this retrospective study. Data analysis was conducted using IBM SPSS Statistics version V26.0, MedCalc Statistical Software version 19.4.0, and the R Environment for Statistical Computing software (R Foundation for Statistical Computing). Isolated CA125 showed the best application value for differentiating benign ovarian tumors from OC when the defined variables were compared separately. The combination of CA125, HE4, FAR, SII, and PNI displayed a greater area under the operating characteristic curve curve than any one of them or other combinations of the 5 variables. Compared to CA125 alone, the combination of CA125, HE4, FAR, SII, and PNI showed a slight gain in sensitivity (83.91%), negative predictive value (83.91%), accuracy (85.88%), and a decrease in negative likelihood ratio (0.180%). Higher preoperative CA125, HE4, SII, and FAR levels, and lower PNI levels predicted a higher probability of advanced OC progression and lymph node metastasis. FAR has better application value than other inflammation-related markers (PNI and SII). This study suggests that preoperative serum SII, PNI, and FAR may be clinically valuable markers in patients with OC. FAR has better application value than other inflammation-related markers (PNI and SII). As we delve deeper into the inflammatory mechanisms associated with tumors, we may discover more effective combinations of tumor and inflammatory biomarkers.

Classical Prognostic Factors Predict Prognosis Better than Inflammatory Indices in Locally Advanced Cervical Cancer: Results of a Comprehensive Observational Study including Tumor-, Patient-, and Treatment-Related Data (ESTHER Study)

Systemic inflammation indices were found to be correlated with therapeutic outcome in several cancers. This study retrospectively analyzes the predictive role of a broad range of systemic inflammatory markers in patients with locally advanced cervical cancer (LACC) including patient-, tumor-, and treatment-related potential prognostic factors. All patients underwent definitive chemoradiation and pretreatment values of several inflammatory indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio, monocyte/lymphocyte ratio, systemic immune inflammation index (SII), leukocyte/lymphocyte ratio, combination of platelet count and NLR, aspartate aminotransferase/platelet ratio index, aspartate aminotransferase/lymphocyte ratio index, systemic inflammatory response index, and aspartate transaminase/neutrophil ratio index) were calculated. Their correlation with local control (LC), distant metastasis-free (DMFS), disease-free (DFS), and overall survival (OS) was analyzed. One hundred and seventy-three patients were included. At multivariable analysis significant correlations were recorded among clinical outcomes and older age, advanced FIGO stage, lower hemoglobin levels, larger tumor size, and higher body mass index values. The multivariate analysis showed only the significant correlation between higher SII values and lower DMFS rates (p < 0.01). Our analysis showed no significant correlation between indices and DSF or OS. Further studies are needed to clarify the role of inflammation indices as candidates for inclusion in predictive models in this clinical setting.

Preoperative Prognostic Nutritional Index Is a Prognostic Indicator of Cancer-Specific Survival in Patients Undergoing Endometrial Cancer Surgery

BACKGROUND

The prognostic nutritional index (PNI) reflects systemic inflammation and nutritional status. This study aimed to evaluate the effect of preoperative PNI on postoperative cancer-specific survival in patients with endometrial cancer (EC).

METHODS

Demographic, laboratory, and clinical data were retrospectively collected from 894 patients who underwent surgical resection of EC. Preoperative PNIs were determined from the serum albumin concentration and total lymphocyte count, which were measured within 1 month before surgery. Patients were classified into high PNI (n = 619) and low PNI (n = 275) groups according to the preoperative PNI cut-off value of 50.6. The stabilized inverse probability of treatment weighting (IPTW) method was used to reduce bias: a weighting cohort divided into high PNI (n = 615.4) and low PNI (n = 272.3) groups. The primary outcome measure was postoperative cancer-specific survival.

RESULTS

The postoperative cancer-specific survival rate was higher in the high PNI group than the low PNI group in the unadjusted cohort (93.1% vs. 81.5%; proportion difference [95% confidence interval; 95% CI], 11.6% [6.6-16.6%]; P < 0.001) and in the IPTW-adjusted cohort (91.4% vs. 86.0%; 5.4% [0.8-10.2%]; P = 0.021). In the multivariate Cox proportional hazard regression model in the IPTW-adjusted cohort, high preoperative PNI (hazard ratio [95% CI], 0.60 [0.38-0.96]; P = 0.032) was an independent determinant of postoperative cancer-specific mortality. The multivariate-adjusted restricted cubic spline curve for the Cox regression model showed a significant negative association between preoperative PNI and postoperative cancer-specific mortality (P < 0.001).

CONCLUSION

High preoperative PNI was associated with improved postoperative cancer-specific survival in patients undergoing surgery for EC.

Prediction study of prognostic nutrition index on the quality of life of patients with cervical cancer undergoing radiotherapy and chemotherapy

Objective

To assess the prognostic nutritional index (PNI) and quality of life (QOL) of patients with cervical cancer (CC) who underwent radiotherapy and chemotherapy and to reveal the effect of PNI on QOL and its prognostic value.

Methods

A total of 138 CC patients who underwent radiotherapy and chemotherapy in the Second Affiliated Hospital of Fujian Medical University from January 2020 to October 2022 were selected as the study subjects via convenient sampling. According to the PNI cut-off value of 48.8, they were divided into a high-PNI group and a low-PNI group, and the quality of life of the two groups was compared. The Kaplan-Meier method was used to draw the survival curve, and the Log-Rank test was employed to compare the survival rates of the two groups.

Results

The scores of physical functioning and overall QOL in the high-PNI group were significantly higher than those in the low-PNI group (P < 0.05). The scores of fatigue, nausea and vomiting, pain and diarrhea were higher than those in the low-PNI group, and the difference was statistically significant (P < 0.05). The objective response rates were 96.77% and 81.25% in the high-PNI group and the low-PNI group, respectively, and the difference was statistically significant (P = 0.045). The 1-year survival rates of patients with high PNI and low PNI were 92.55% and 72.56% in the high-PNI group and the low-PNI group, respectively; the difference in survival rates was statistically significant (P = 0.006).

Conclusion

The overall quality of life of CC patients with low PNI receiving radiotherapy and chemotherapy is lower than that of patients with high PNI. Low PNI reduces the tolerance to radiotherapy and chemotherapy and the objective response rate, which can be used as a prognostic indicator for cervical cancer patients.

Using preoperative control nutritional status scores as prognostic factors for endometrial cancer

Background

Previous investigations have reported that controlling nutritional (CONUT) status scores, incorporating total cholesterol (TC) and serum albumin (SA) values, and total lymphocyte (LY) counts, are reliable malignant tumor predictors. However, CONUT scores for predicting endometrial cancer (EC) remain unexplored.

Objective

To evaluate preoperative CONUT scores as prognostic factors for postoperative EC.

Methods

We retrospectively evaluated preoperative CONUT scores in 785 surgically resected EC patients at our hospital between June 2012 and May 2016. Using time-dependent receiver operating characteristic (ROC) analyses, patients were split into: 1) CONUT-high (CH) (≥1) and 2) CONUT-low (CL) (<1) groups. Relationships between CONUT scores and different clinicopathological, pathological differentiation, muscle layer infiltration depth, and prognosis factors were examined, and Cox regression analyses performed to assess prognostic values on overall survival (OS) rates.

Results

We assigned 404 (51.5%) and 381 (58.5%) patients to CH and CL groups, respectively. In the CH group, body mass index (BMI), prognostic nutrition index (PNI), and LY/monocyte ratios (LMR) were decreased, however, neutrophil/LY (NLR) and platelet/LY ratios (PLR) were increased. Pathological differentiation analyses showed that G1 proportions were higher in the CL group, while G2 and G3 proportions were more prevalent in the CH group. Muscle layer infiltration depth in CL patients was < 50%, while that it was ≥50% in the CH group. No significant differences in OS rates were recorded between CH and CL groups over 60 months. However long-term survival (LTS) rates after 60 months in the CH group were significantly lower when compared with the CL group, and was more obvious in type II EC patients. Also, periuterine infiltration and preoperative CONUT scores were independent prognostic factors for OS rates as indicated by multi-factor analyses.

Conclusion

CONUT scores not only facilitated the estimation of nutritional status, but were highly beneficial for predicting OS rates in patients with EC after curative resection. CONUT scores provided high predictive values for LTS rates over 60 months in these patients.

Assessment of Peripheral Platelet to Lymphocyte Ratio and Prognostic Nutritional Index in the Efficacy and Prognosis of Radiotherapy for Cervical Cancer

This study aimed to evaluate the correlation between the pre-treatment peripheral platelet-to-lymphocyte ratio (PLR) and the prognostic nutritional index (PNI) with the efficacy and prognosis of radiotherapy for cervical cancer. A total of 110 patients with cervical cancer who received radiotherapy at our hospital from November 2017 to November 2020 were retrospectively analysed. The cut-off values of PLR and PNI were obtained using the receive operating characteristic curve (ROC) and the Youden index. The patients were divided into high PLR and low PLR and high PNI and low PNI groups. We compared the clinical characteristics, 3-year overall survival (OS), and progression-free survival (PFS) between the high and low PLR groups, as well as the high and low PNI groups of patients. Cox regression was used to analyse the factors influencing OS and PFS. The median follow-up duration was 26 months. The optimal cut-off value for PLR was 186.88 and that for PNI was 47.35. The 3-year OS values were 81.00% and 97.10% for the high PLR (PLR > 186.88) and low PLR (PLR ≤ 186.88) groups, respectively, and the 3-year PFS values were 59.50% and 88.20% for the high PLR and low PLR groups, respectively, with statistically significant differences (p < 0.05). The 3-year OS values were 97.50% and 74.20% for the high PNI (PNI > 47.35) and the low PNI (PNI ≤ 47.35) groups, respectively, and the 3-year PFS values were 87.30% and 51.60% for the high PNI and low PNI groups, respectively, with statistically significant differences (p < 0.05). Multifactorial Cox regression analyses revealed that high PLR value (PLR > 187.88), low PNI value (PNI ≤ 47.35), histological type, and FIGO stage were independent risk factors for the OS of cervical cancer. Pretreatment PNI values and PLR values can be used as simple and feasible predictors of clinical efficacy and prognosis for patients treated with radiotherapy for cervical cancer.

Prognostic values of the prognostic nutritional index, geriatric nutritional risk index, and systemic inflammatory indexes in patients with stage IIB-III cervical cancer receiving radiotherapy

Background

Growing evidence suggests that nutritional status and inflammation are associated with survival in various cancers. This study aimed to evaluate the prognostic value of the prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI), and systemic inflammatory indexes (neutrophil/lymphocyte ratio [NLR], monocyte/lymphocyte ratio [MLR], and platelet/lymphocyte ratio [PLR]) in patients with stage IIB-III cervical cancer receiving radiotherapy.

Results

The ideal cutoff values for the PNI, GNRI, NLR, MLR, and PLR were 48.3, 97.04, 2.8, 0.41, and 186.67, respectively. Low PNI and GNRI scores were associated with poor OS and PFS. High NLR, MLR, and PLR also predicted inferior 5-year OS and PFS rates in patients with stage IIB-III cervical cancer. Multivariate Cox regression analysis identified tumor size, histological type, stage, number of metastatic lymph nodes, PNI, GNRI, NLR, PLR, and MLR as significant prognostic factors for OS and PFS.

Conclusions

The current findings suggest that the PNI, GNRI, NLR, PLR, and MLR are essential parameters for predicting prognosis in patients with stage IIB-III cervical cancer receiving radiotherapy.

Prognostic Value of Inflammatory and Nutritional Markers for Patients With Early-Stage Poorly-to Moderately-Differentiated Cervical Squamous Cell Carcinoma

BACKGROUND

The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammatory index (SII), systemic inflammation response index (SIRI), and Onodera's prognostic nutritional index (OPNI) have been reported as prognostic markers for various cancers. We evaluated the prognostic value of the NLR, PLR, MLR, SII, SIRI, and OPNI for poorly-to moderately-differentiated cervical squamous cell carcinoma (CSCC).

PATIENTS AND METHODS

We retrospectively analyzed the cases of 109 patients with early-stage poorly-to moderately-differentiated CSCC who underwent radical surgery at our institution in 2014-2017. The optimal cutoff points for the NLR, PLR, MLR, SII, SIRI, and OPNI were determined by receiver operating characteristic curves. Overall survival was analyzed by the Kaplan-Meier method. We performed a multivariate analysis using the Cox proportional hazard regression model to determine the independent prognostic indicators for early-stage poorly-to moderately-differentiated CSCC.

RESULTS

The appropriate cutoff points were: NLR, 1.72; PLR, 111.96; MLR, .24; SII, 566.23; SIRI, 1.38; and OPNI, 52.68. The OS of the patients with a high OPNI (P = .04), low SII (P = .03), or low SIRI (P = .01) was significantly better. The uni- and multivariate analyses identified only the OPNI as an independent prognostic marker for early-stage poorly-to moderately-differentiated CSCC (P = .04 and P = .02).

CONCLUSION

The OPNI is an independent prognostic marker for early-stage poorly-to moderately-differentiated CSCC; the NLR, PLR, MLR, SII, and SIRI are not.

Impact of pre-treatment prognostic nutritional index and the haemoglobin, albumin, lymphocyte and platelet (HALP) score on endometrial cancer survival: A prospective database analysis

Purpose

The Onodera’s prognostic nutritional index (PNI) and the haemoglobin, albumin, lymphocyte and platelet (HALP) score are immune-nutritional indices that correlate with survival outcomes in several adult solid malignancies. The aim of this study was to investigate whether PNI and HALP are associated with survival outcomes in endometrial cancer.

Patients and methods

Women undergoing management for endometrial cancer were recruited to a single centre prospective cohort study. Pre-treatment PNI and HALP scores were computed for study participants and analysed as continuous variables and by selecting cut-off values based on previous publications. Both parameters were analysed in relation to overall, endometrial cancer-specific and recurrence-free survival using Kaplan-Meier estimation and multivariable Cox proportional regression.

Results

A total of 439 women, with a median age of 67 years (interquartile range (IQR), 58, 74) and BMI of 31kg/m² (IQR 26, 37) were included in the analysis. Most had low-grade (63.3%), early-stage (84.4% stage I/II) endometrial cancer of endometrioid histological subtype (72.7%). Primary treatment was surgery in 98.2% of cases. Adjusted overall mortality hazard ratios for PNI and HALP as continuous variables were 0.97(95%CI 0.94–1.00, p = 0.136) and 0.99(95%CI 0.98–1.01, p = 0.368), respectively. Women with pre-treatment PNI ≥45 had a 45% decrease in both overall (adjusted HR = 0.55, 95% CI 0.33–0.92, p = 0.022) and cancer-specific mortality risk (adjusted HR = 0.55, 95%CI 0.30–0.99, p = 0.048) compared to those with PNI <45. There was no evidence for an effect of PNI on recurrence free survival. HALP scores were associated with adverse clinico-pathologic factors, but not overall, cancer-specific or recurrence-free survival in the multivariable analysis.

Conclusion

PNI is an independent prognostic factor in endometrial cancer and has the potential to refine pre-operative risk assessment.

Malnutrition as a risk factor for post-operative morbidity in gynecologic cancer: Analysis using a national surgical outcomes database

OBJECTIVE

To assess, using a national surgical outcomes database, the association of various malnutrition definitions with post-operative morbidity in three gynecologic malignancies.

METHODS

Patients undergoing resection of ovarian, uterine, or cervical cancer between 2005 and 2019 were identified using the National Surgical Quality Improvement Program (NSQIP) database. Patients were classified based on specific, pre-defined malnutrition criteria: severe malnutrition (Body Mass Index (BMI) <18.5 + 10% weight loss), European Society for Clinical Nutrition and Metabolism ((ESPEN1); BMI 18.5-22 + 10% weight loss), ESPEN2 (BMI < 18.5), American Cancer Society ((ACS); normal/overweight BMI + 10% weight loss), mild malnutrition (BMI 18.5-22), or albumin (<3.5 g/dL). Outcomes included 30-day major complications, readmission, reoperation. Modified Poisson regression estimated associations between definitions and outcomes.

RESULTS

Of 76,290 total patients undergoing surgery, those meeting malnutrition definitions were: severe-98 (0.1%), ESPEN1-148 (0.2%), ESPEN2-877 (1.1%), ACS-1028 (1.3%), mild-2853 (3.7%), and albumin (11.1%). Complication rates were: unplanned readmission-5.5%, reoperation-1.7%, major complications-13.5%. For ovarian cancer, ESPEN2 malnutrition was associated with higher readmissions (risk ratio 1.69; 95% confidence interval 1.29-2.20), reoperations (2.53; 1.70-3.77), and complications (1.36; 1.20-1.54). For uterine cancer, ACS malnutrition was associated with readmissions (2.74; 2.09-3.59), reoperations (3.61; 2.29-5.71) and complications (3.92; 3.40-4.53). For cervical cancer, albumin<3.5 g/dL was associated with readmissions (1.48; 1.01-2.19), reoperations (2.25; 1.17-4.34), and complications (2.59; 2.11-3.17). Albumin<3.5 was associated with adverse outcomes in ovarian and uterine cancer.

CONCLUSIONS

Preoperative risk assessments might be tailored using cancer-specific malnutrition criteria. Major complications, readmissions, and reoperations are all associated with the ESPEN2 definition for ovarian cancer, the ACS definition for uterine cancer, and with albumin<3.5 for all cancers.

A Novel Risk Factor for Para-Aortic Lymph Node Recurrence After Definite Pelvic Radiotherapy in Stage IIIB Cervical Cancer

Background: Studies determining which patients with International Federation of Gynecology and Obstetrics (FIGO) stage IIIB disease benefit from prophylactic extended-field irradiation (EFRT), which can reduce para-aortic lymph node (PALN) failure rates, are limited. The study was designed to evaluate the value of the controlling nutritional status (CONUT) score as a risk factor for predicting PALN recurrence and identifying potential indications of prophylactic EFRT. Methods: From 2010 to 2015, a retrospective review was conducted among patients with FIGO stage IIIB cervical cancer who were treated with definitive pelvic radiotherapy or concurrent chemoradiotherapy. We analyzed para-aortic lymph node metastasis-free survival (PALNMFS) using Kaplan-Meier curves. Multivariate analyses were performed using Cox regression models. Results: A total of 116 patients with FIGO stage IIIB cervical cancer were included in the study and the median follow-up was 42.2 months (range: 3.5-104.2 months). Multivariate analysis revealed that the CONUT score (HR: 3.141; 95% CI: 2.321-5.436; P < .001) and ≥3 pelvic lymph node metastases (HR: 2.235; 95% CI: 1.428-11.242; P < .001) were independent risk predictors of PALNMFS. Compared with the low CONUT group (score<3), the high CONUT group (score≥3) was associated with a significantly worse 3-year disease-free survival rate (46.9 vs 69.5%, P = .001), a significantly lower 3-year overall survival rate (68.5 vs 79.7%, P = .016) and a significantly lower PALNMFS rate (74.8 vs 96.4%, P < .001). Conclusions: A high CONUT score (score≥3) and ≥3 pelvic metastatic lymph nodes were significant predictors of PALNMFS after pelvic radiation in FIGO stage IIIB cervical cancer patients. Patients with these risk factors might benefit from prophylactic EFRT.

Clinical outcomes of uterine arterial chemoembolization with drug-eluting beads for advanced-stage or recurrent cervical cancer

PURPOSE

To study the clinical efficacy and safety of transarterial chemoembolization with drug-eluting beads (DEB-TACE) among women with advanced-stage or recurrent cervical cancer.

METHODS

This retrospective cohort study enrolled women with cervical cancer who were treated by DEB-TACE between April 3, 2017 and July 12, 2021. Inclusion criteria were pathologic diagnosis of cervical cancer, II-IVa period, being aged 18 to 80 years, patient's inclination of treatment with DEB-TACE, and complete clinicopathologic data. Direct medical cost, hospital stay, resection frequency, treatment responses, adverse events, overall survival, and progression-free survival were investigated.

RESULTS

A total of 16 women with cervical cancer were treated by DEB-TACE. DEB-TACE was successfully performed in all patients, with no major complications or adverse events. A total of 10 minor complications were observed in 9 women (56.3%) after the procedure. Seven (43.8%) women experienced mild to moderate post-embolization pain. The tumors decreased 3 and 6 months after the treatment. The frequency of complete response, partial response, stable disease, and progressive disease was 1 (40%), 3 (40%), 12 (15%), and 0 (0%), respectively, resulting in an objective response rate of 25.0% and a disease control rate of 100.0% after 1 month. The median hospital stay was 9.5 days, and the direct medical cost was 5.9 × 10⁴ ¥. The median follow-up time was 4.1 months (interquartile range 2.6-23.7 months). The median overall survival was 19.1 months, and the 1- and 3-year survival rate was 64.9% and 46.4%, respectively.

CONCLUSION

DEB-TACE with diamminedichloroplatinum-preloaded beads may be an effective and safe treatment for women with advanced-stage or recurrent cervical cancer.

Molecular Markers to Predict Prognosis and Treatment Response in Uterine Cervical Cancer

Uterine cervical cancer is one of the leading causes of cancer-related mortality in women worldwide. Each year, over half a million new cases are estimated, resulting in more than 300,000 deaths. While less-invasive, fertility-preserving surgical procedures can be offered to women in early stages, treatment for locally advanced disease may include radical hysterectomy, primary chemoradiotherapy (CRT) or a combination of these modalities. Concurrent platinum-based chemoradiotherapy regimens remain the first-line treatments for locally advanced cervical cancer. Despite achievements such as the introduction of angiogenesis inhibitors, and more recently immunotherapies, the overall survival of women with persistent, recurrent or metastatic disease has not been extended significantly in the last decades. Furthermore, a broad spectrum of molecular markers to predict therapy response and survival and to identify patients with high- and low-risk constellations is missing. Implementation of these markers, however, may help to further improve treatment and to develop new targeted therapies. This review aims to provide comprehensive insights into the complex mechanisms of cervical cancer pathogenesis within the context of molecular markers for predicting treatment response and prognosis.

Preoperative controlling nutritional status (CONUT) score is a prognostic factor for early-stage cervical cancer patients with high-risk factors

OBJECTIVE

The goal of the study was to confirm whether preoperative controlling nutritional status (CONUT) was a prognostic factor in early-stage cervical cancer patients with high-risk factors after surgery and postoperative concurrent chemoradiotherapy (CCRT).

METHODS

Between 2004 and 2015, a total of 698 patients who were treated with surgery and postoperative CCRT were included in this retrospective study. The prescribed dose for postoperative radiotherapy was 45-50.4 Gy in 25-28 fractions and the concurrent chemotherapy regimen contained cisplatin or paclitaxel. Based on the receiver operating characteristic (ROC) analysis, the patients were classified into low (<3) and high (≥3) CONUT groups.

RESULTS

Of all study patients, 471 (67.5%) patients were included in the low CONUT group. The low CONUT group had significantly better 5-year disease-free survival (DFS) and overall survival (OS) than the high CONUT group (p<0.001 and p = 0.001, respectively). A high CONUT score was significantly associated with lymph node metastasis, parametrial invasion, and poorer nutritional status, including lower body mass index (BMI) and lower prognostic nutritional index (PNI) score (p<0.05, respectively). The CONUT score was an independent predictor of DFS and OS in multivariate analysis. Notably, the CONUT score still efficiently stratified DFS in the high PNI score group (P = 0.001).

CONCLUSIONS

The preoperative high CONUT scores indicated poor prognosis for early-stage cervical cancer patients with high-risk factors treated with surgery and postoperative CCRT. In clinical practice, patients with high CONUT score should be considered to receive consolidation chemotherapy.

Immune correlates of therapy outcomes in women with cervical cancer treated with chemoradiotherapy: A systematic review

Background

Immune markers have been correlated with prognosis in a variety of solid tumors, including cervical cancer.

Objective

To review the literature on hematologic and immune markers and their association with recurrence and survival among patients with cervical cancer treated with chemoradiation.

Evidence review

This systematic review was conducted in accordance with PRISMA guidelines via searches of Ovid MEDLINE, Ovid Embase, and the Cochrane Library using keywords regarding cervical cancer, immune markers, and HIV. Studies involving patients treated with cisplatin‐based chemoradiotherapy were selected and reviewed by at least two independent reviewers, with disagreements resolved by a third reviewer.

Findings

A total of 737 studies were identified, of which 314 assessed immune biomarkers in immunocompetent patients (30 included in the final analysis) and 327 studies in immunosuppressed patients (5 included in the final analysis). The strongest prognostic indicators were lymphopenia and elevated neutrophil‐to‐lymphocyte ratio. Other potential markers included HPV‐specific lymphocyte response, cytokine profile, expression of immune‐blocking antigens on cell surfaces, and tumor‐associated lymphocyte, macrophage, and neutrophil infiltration. Studies of immunosuppressed patients described more severe cytopenic changes overall and concluded that viral suppression led to improved outcomes.

Conclusions

The immunologic interplay at work in cervical cancer development, progression, and treatment is complex. Strong evidence was found in favor of lymphopenia and elevated neutrophil‐to‐lymphocyte ratio being prognostic for worse outcomes with other markers showing potential associations as well. Although the interpretation of immune status with regard to treatment approach remains unclear, future studies should aim to tailor treatment that minimizes possible detrimental immune effects.

Immune markers have been correlated with prognosis in a variety of solid tumors, including cervical cancer. In this systematic review of immune markers for cervical cancer patients being treated with chemoradiation, we surveyed the literature for immunologic and hematologic prognostic markers and found the strongest negative prognostic indicators were lymphopenia and elevated neutrophil‐to‐lymphocyte ratio.

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

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.

Descriptive statistics of dataset from the meta-analysis and meta-regression analysis on prognostic significance of pre-treatment systemic hemato-immunological indices of cervical cancer patients

In this study, we perform a meta-analysis and meta-regression analysis for the article entitled “Prognostic value of systemic hemato-immunological indices in uterine cervical cancer: A systemic review, meta-analysis, and meta-regression of observational studies.” [1] We implemented quantitative meta-analyses and time series meta-regression analysis to determine whether systemic hemato-immunological indices, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), thrombocyte-to-lymphocyte ratio (TLR), and C-reactive protein/albumin ratio (CAR) are associated with an increased risk of cervical collision cancer. In all, 9558 patients from 22 studies were included after a systematic data search, performed comprehensively using the following databases: MEDLINE, Web of Science, Embase, and Cochrane. The meta-analysis was conducted with a random-effects model using the Review Manager software (Revman version 5.3). The overall survival (OS), disease-free survival (DFS), and progression-free survival (PFS) data were compared among each observational study. All data are expressed as hazard ratios (HRs) and 95% confidence intervals (CIs), and were calculated using the generic inverse of variance method. Statistical heterogeneity was quantified using Cochrane's Q statistic and Higgins I² statistic. Subgroup analysis was performed to investigate the sources of heterogeneity. Furthermore, quality assessment of the included datasets was presented according to the Newcastle-Ottawa Scale method. Additionally, sensitivity analysis was conducted to explore the sources of heterogeneity and analyze whether the results were stable and reliable. Meta-analysis random-effect approach was used for the regression to evaluate the effect of age, presence of squamous cell carcinoma patients, and number of evaluated NLR and PLR parameters on patient survival.

Preoperative prognostic nutritional index predicts short- and long-term outcomes after liver resection in patients with hepatocellular carcinoma

The prognostic nutritional index (PNI) is one of the immune parameters calculated on the basis of the serum albumin and the total lymphocyte count. The aim of the present study was to investigate the prognostic significance of the PNI for short- and long-term outcomes after liver resection for patients with hepatocellular carcinoma (HCC). Data from 162 surgically treated patients with HCC (without any previous treatment) were retrospectively analyzed. The cutoff value of preoperative PNI was 45.0, which was calculated by a receiver operating characteristic curve for predicting the recurrence of HCC after liver resection. Patients were divided into low (n=86) and high (n=76) PNI groups. In short-term outcomes, patients in the low PNI group were more likely to experience postoperative complications compared with those in the high PNI group. The 5-year disease-free survival (DFS) rate in the low PNI group was significantly lower compared with that in the high PNI group (20.5% vs. 48.7%). In the multivariate analysis, a low PNI was an independent prognostic factor for DFS (HR, 1.65; 95% CI, 1.00-2.71). In conclusion, the preoperative PNI may be a prognostic factor for evaluating short- and long-term outcomes after liver resection in patients with HCC.

Neutrophil-to-lymphocyte ratio is an independent predictor for survival outcomes in cervical cancer: a systematic review and meta-analysis

This updated meta-analysis sought to explore whether pretreatment neutrophil-to-lymphocyte ratio (NLR) could serve as an independent predictor for survival outcomes in patients with cervical cancer. We searched PubMed, Embase, Web of science and Scopus for studies on the association of pretreatment serum NLR with overall survival (OS) and progression-free survival (PFS) among patients with cervical cancer. Included studies with a hazard ratio (HR) and 95% confidence interval (CI) or a p-value were weighted by generic inverse-variance and pooled in a random effects meta-analysis. Subgroup analyses were conducted according to regions, NLR cut-off values and treatments. Publication bias was analyzed by Egger’s and Begg’s tests. A total of 14 studies comprising 6041 patients were included. The median cut-off value for NLR was 2.46 (range from 1.60 to 3.80). The higher NLR was associated to worse OS (HR 1.86, 95% CI 1.44–2.40) and PFS (HR 1.67, 95% CI 1.25–2.23), compared with lower NLR. This association still exited when analyzed according to regions, NLR cut-off values. Moreover, Significant association between NLR and OS was observed in studies which included patients with early stage disease and receiving radical surgeries. High NLR is independently associated with decreased OS and PFS in patients with cervical cancer. Pretreatment NLR is of independent value to predict the survival outcomes in patients with cervical cancer, regardless of regions and primary treatments.

Prognostic value of systemic hemato-immunological indices in uterine cervical cancer: A systemic review, meta-analysis, and meta-regression of observational studies

OBJECTIVE

To estimate the prognostic efficacy of several systemic hemato-immunological indices for the treatment of cervical cancer as well as to determine whether the systemic hemato-immunological indices are associated with an increased risk of cervical collision cancer.

METHODS

A systematic search was conducted to identify studies that evaluated the prognostic impact of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), thrombocyte-to-lymphocyte ratio (TLR), C-reactive protein/albumin ratio (CAR), and systemic immune-inflammation index (SII) in cervical cancer patients. The endpoints were overall survival (OS) or progression-free survival (PFS) and clinicopathologic parameters. A meta-analysis using random-effect models was performed to calculate hazard ratios (HRs) or odds ratios with 95% confidence intervals.

RESULTS

Twenty-two retrospective cohort studies involving 9558 patients were included. Our results show that high NLR, PLR, TLR, and CAR indicated poor prognosis for patients with cervical cancer (HRs = 2.46, 1.88, 3.70, and 3.94, respectively; all P ≤ 0.001). Subgroup analysis suggested that the highest NLR and PLR were more precise biomarkers in patients who were diagnosed with FIGO stage I-III cervical cancer after treatment with chemo-radiotherapy. High TLR and high LMR displayed significant prognostic value in late-FIGO stage III-IV cervical cancer (HRs = 4.33 and 2.032, respectively). Additionally, CAR was associated with poor survival in patients with advanced-FIGO stage cervical cancer and larger tumor size. According to the difference of NLR, the younger (43-51 years old) cervical cancer patients had a tendency of increased collision risk. However, cervical cancer patients in the 52-61 years age group were more vulnerable than their respective counterparts using the pooled estimate for PLR.

CONCLUSION

Our findings support a prognostic role for elevated CAR and TLR besides that of NLR and PLR in advanced-FIGO stage cervical cancer.

The prognostic value of pretreatment prognostic nutritional index in patients with small cell lung cancer and it's influencing factors: a meta-analysis of observational studies

Background

Numerous studies identified that pretreatment prognostic nutritional index (PNI) was significantly associated with the prognosis in various kinds of malignant tumors. However, the prognostic value of PNI in small cell lung cancer (SCLC) remains controversial. We performed the present meta-analysis to estimate the prognostic value of PNI in SCLC and to explore the relationship between PNI and clinical characteristics.

Methods

We systematically and comprehensively searched PubMed, EMBASE, and Web of Science for available studies until April 17, 2020. Pooled hazard ratios (HRs) and their 95% confidence intervals (CIs) were used to evaluate the correlation between PNI and overall survival (OS) and progression-free survival (PFS) in SCLC. Odds ratios (ORs) and 95% CIs were applied to evaluate the relationship between clinical features and PNI in SCLC.

Results

A total of nine studies with 4,164 SCLC patients were included in the meta-analysis. The pooled data elucidated that lower PNI status was an independent risk factor for worse OS in SCLC (HR =1.43; 95% CI: 1.24-1.64; P<0.001), while there was no significant correlation between PNI status and PFS (HR =1.44; 95% CI: 0.89-2.31; P=0.134). We also found that Eastern Cooperative Oncology Group (ECOG) performance status ≥2 (OR =2.72; 95% CI: 1.63-4.53; P<0.001) and extensive-stage (ES) disease (OR =1.93; 95% CI: 1.62-2.30; P<0.001) were risk factors for low PNI, while prophylactic cranial irradiation (PCI) (OR =0.53; 95% CI: 0.40-0.69; P<0.001) was a protective factor for low PNI.

Conclusions

Our findings suggested that low PNI status was closely correlated with the decreased OS in SCLC. Surveillance on PNI, amelioration of nutritional and immune status, and timely initiation of PCI may improve the prognosis of SCLC.

Onodera's prognostic nutritional index correlates with tumor immune environment and survival in patients with oral squamous cell carcinoma undergoing chemoradiotherapy

Pretreatment nutritional and immunological status is useful for predicting survival outcomes for various types of malignant tumors. Our objective was to determine the impact of the pretreatment Onodera's prognostic nutritional index (OPNI) on outcomes of patients who underwent definitive chemoradiotherapy for advanced oral squamous cell carcinoma (OSCC). We reviewed 47 patients treated for OSCC with definitive chemoradiotherapy (CRT) at our institution between January 2004 and December 2011. We determined the OPNI according to the following formula: 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per μL). We determined the optimum OPNI cut-off through a receiver operating characteristic analysis. We analyzed the associations between OPNI status and various clinicopathological features and evaluated the effects of OPNI on the prognosis. We examined the relationships between OPNI and systemic inflammatory response parameters and analyzed intratumoral CD8+ T cells and their correlation with OPNI. The optimum OPNI cut-off was 42.7. A Kaplan–Meier curve analysis revealed that low OPNI was significantly associated with poor overall survival and cause-specific survival. The multivariate analysis revealed that low OPNI was independently correlated with poor 5 year overall survival and cause-specific survival. OPNI was significantly correlated with systemic inflammatory response parameters. Intratumoral CD8+ T cell counts in primary tumors were significantly lower for low OPNI than for high OPNI. The present data demonstrate that pretreatment OPNI is a valuable independent prognostic indicator of overall and cause-specific survival in advanced OSCC following definitive CRT. OPNI might reflect the tumor immune microenvironment characterization in OSCC.

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The optimum Onodera's prognostic nutritional index (OPNI) cut-off was 42.7 in OSCC patients who underwent definitive chemoradiotherapy

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Low OPNI was significantly associated with poor overall survival and cause-specific survival

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OPNI was significantly correlated with systemic inflammatory response parameters

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High-OPNI group showed significantly higher intratumoral CD8+ T cell counts in primary tumors

Is Onodera's prognostic nutritional index (OPNI) a prognostic factor in small cell lung cancer (SCLC)?

INTRODUCTION

We aimed to evaluate the prognostic value of Onodera's prognostic nutritional index (OPNI) in patients with Small-cell lung cancer (SCLC).

MATERIALS AND METHODS

This study retrospectively examined 109 patients diagnosed with SCLC between January 2008 and October 2018 in our hospital. Patients were divided into two groups according to the median of OPNI values.

RESULTS

A significant difference was observed between the groups in terms of neutrophil percentage, lymphocyte count, lymphocyte percentage, C-reactive protein (CRP), albumin, lactat dehidrogenase (LDH) and neutrophil to lymphocyte ratio (NLR) (P < 0.05). LDH, CRP, neutrophil percentage and NLR (P = 0.008, P < 0.001, P = 0.001, P < 0.001, respectively) were significantly higher and albumin, lymphocyte count and lymphocyte percentage (P < 0.001, P < 0.001, P = 0.001, respectively) were significantly lower in the low OPNI group. Survival analyses have shown that mortality rates and lifespan are similar in the two groups.

CONCLUSION

The OPNI may be a helpful tool for determining the prognosis in SCLC.

Preoperative fibrinogen-to-albumin ratio, a potential prognostic factor for patients with stage IB-IIA cervical cancer

Background

Previous studies have shown that fibrinogen-to-albumin ratio (FAR) is a novel prognostic immune biomarker in various diseases. In this study, we investigated the role of FAR in the prognosis of patients with stage IB-IIA cervical cancer (CC).

Methods

A total of 278 eligible participants with newly diagnosed CC (stage IB-IIA) who had undergone radical hysterectomy followed by adjuvant chemotherapy were enrolled in this study. Demographics, clinicopathological variables, and laboratory tests were obtained from the medical records. Risk factors for overall survival (OS) and recurrence-free survival (RFS) were evaluated by univariate and multivariate Cox proportional regression analyses. The association between OS, RFS, and FAR was assessed by the Kaplan–Meier method using log-rank test.

Results

FAR was associated with age, International Federation of Gynecology and Obstetrics (FIGO) stage, depth of the invasion, and C-reactive protein (CRP) level (P < 0.05). Preoperative FAR was an effective predictor for OS in CC patients with a cut-off value of 7.75 and an area under the curve (AUC) of 0.707 (P < 0.001). The univariate and multivariate Cox analyses indicated that FIGO stage and FAR were two independent risk factors for both OS and RFS (P < 0.05). Kaplan–Meier analysis confirmed that patients with high FAR levels showed significantly lower RFS (P = 0.004) and OS (P = 0.003) than those with low FAR levels.

Conclusions

This study indicated that elevated preoperative FAR might be a novel prognostic factor for CC patients with stage IB-IIA.

The Preoperative Prognostic Nutritional Index for the Prediction of Outcomes in Patients with Early-Stage Ovarian Clear Cell Carcinoma

The prognostic nutritional index (PNI), which reflects preoperative malnutrition, is useful for predicting the incidence of postoperative complications and has been reported in recent years to predict the long-term prognosis of various malignancies. The purpose of this study was to clarify the significance of PNI as a prognostic factor for early-stage clear cell ovarian carcinoma. A total of 82 patients with stage I-II (FIGO 2014) ovarian clear cell carcinoma undergoing primary surgery at our hospital from January 2005 to December 2017 were enrolled. PNI was calculated using the formula: 10 × serum albumin (g/ dL) + 0.005 × peripheral blood lymphocyte count (/mm3). Preoperative PNI exhibited relatively high area under the curve value (0.709) for 5 year survival, and the optimal cutoff value was 46.5. The overall survival was significantly shorter in the PNI-low group than in the PNI-high group. Multivariate analysis showed that high PNI was a significant independent prognostic factor for favorable prognosis (hazard ratio = 0.102, p = 0.010). There was no significant difference in recurrence-free survival between the two groups (p = 0.220), but the postrecurrence survival was significantly longer in the PNI-high group than in the PNI-low group (p = 0.0383). The preoperative PNI was a useful predictor of prognosis, even in early-stage ovarian clear cell carcinoma.

Prognostic Nutritional Index and Clinical Response in Locally Advanced Cervical Cancer

Background: The prognostic nutritional index (PNI), a marker of immune-nutrition balance, has predictive value in the survival and prognosis of various cancers. However, the impact of PNI on response to chemoradiation is poorly understood.Materials and Methods: A total of 583 women with locally advanced cervical cancer from two centers were clinically assessed for complete response after chemoradiation. The baseline PNI was individually recorded, and the significance of association between PNI and complete response was analyzed using logistic regression. ROC (receiver operating characteristics) curves were analyzed to determine the cutoff value of PNI that significantly predicted complete response.Results: Logistic regression analysis demonstrated that the PNI was significantly associated with complete response following chemo radiation (p < 0.0001). Analysis of the ROC curve for PNI demonstrated an optimal cut off value of 44.8 (p < 0.0001, sensitivity 66.7, and specificity 88.5); the area under the ROC curve was 0.813 (Youden's index J, 0.7519).Conclusions: The PNI is significantly associated with clinical complete response to chemoradiation in locally advanced cervical cancer. Low baseline PNI may lower the likelihood of complete response after chemoradiation. In particular, those with PNI values below 44 should be carefully monitored during treatment; nutritional interventions may offer benefit in these women.

The Prognostic Significance Of Pretreatment Albumin/alkaline Phosphatase Ratio In Patients With Stage IB-IIA Cervical Cancer

Background

Pretreatment albumin/alkaline phosphatase ratio (AAPR) has been discussed about its prognostic value in several malignancies, whereas its role in cervical cancer remains unclear. In this study, we attempt to explore the prognostic significance of the AAPR in stage IB-IIA cervical cancer patients who underwent a radical hysterectomy.

Patients and methods

A total of 230 cervical cancer patients were enrolled in this retrospective study. The threshold value of AAPR was determined by receiver operating characteristic (ROC) curve. Kaplan-Meier survival analysis and multivariate analysis were performed to identify independent prognostic predictors of disease-free survival (DFS) and overall survival (OS).

Results

The optimal cut-off value of the preoperative AAPR was 0.68. Patients with AAPR<0.68 showed obviously inferior OS and DFS than those with AAPR>0.68 according to Kaplan-Meier curves (DFS: P = 0.011; OS: P = 0.017). In multivariate analysis, the preoperative AAPR showed to be an independent predictive factor for disease-free survival (DFS: P = 0.015) and overall survival (OS: P = 0.019). Moreover, subgroup analysis revealed that the lower AAPR was correlated with worse prognosis in patients with histologic grade I-II; but in those with histologic grade III, there was no significant difference between the two groups.

Conclusion

Preoperative AAPR was a potentially valuable prognostic index in stage IB-IIA cervical cancer patients. Further prospective studies are required to validate its prognostic value.

Correlation between Prognostic Nutritional Index, Glasgow Prognostic Score, Systemic Inflammatory Response, and TNM Staging in Colorectal Cancer Patients

Background: Various biomarkers have been shown to assess and diagnose colorectal cancer in some researchers. Three indicators including PNI, SIR, GPS were used to predict the outcome for a variety of cancers in existing studies. However, few studies have analyzed the relationship between these biomarkers and different TNM staging. The aim of this study was to investigate the relationship between biomarkers and TNM staging and metastasis of CRC.Patients and methods: Three hundred fifty-five eligible patients were included who were diagnosed with CRC from October 2012 to October 2018 in People's Hospital of Yuxi City. Firstly, we separately calculated PNI, SIR markers and GPS in these patients. Next, the relationship between PNI and GPS with clinical factors were evaluated. Finally, the relationship between TNM staging and tumor metastasis was analyzed.Results: Our results demonstrate that there were statistical differences between PNI and TNM staging, distance metastasis, NLR, PLR, LMR, GPS, CEA, CA199, ALB, L, N, M, PLT, Hb, CRP. GPS with age, TNM staging, distance metastasis, NLR, CA199, ALB, N, CRP have statistical differences. PNI is associated with SIR in patients with CRC, and in which PNI is negatively proportional to NLR and PLR, but positively proportional to LMR.Conclusion: We attempt to combine PNI, SIR, GPS with TNM staging, and the results showed that the three indicators were closely related to TNM staging. Therefore, they can assist in the diagnosis of CRC and are closely related to TNM staging. Detection of three indicators is of important clinical value in the evaluation of TNM staging and metastasis prediction.

Platelet-lymphocyte ratio as a potential prognostic factor in gynecologic cancers: a meta-analysis

PURPOSE

Cancer-related inflammation plays an important role in tumor development and progression. Platelet-lymphocyte ratio (PLR) has been studied as a biomarker for prognosis in gynecologic cancers. But, the results of previous studies were controversial, so we performed this meta-analysis.

METHODS

We searched the scientific database of PubMed, Embase, Web of Science, Wanfang, and China National Knowledge Infrastructure (CNKI) using free text and MeSH keywords. Crude HR (hazard ratio) with 95% confidence interval was used to evaluate the risk association between PLR and overall survival (OS) or progression-free survival (PFS) in gynecologic neoplasms.

RESULTS

There totally 23 studies, including 6869 patients who were eligible, most of which are published after 2015 or later. PLR greater than the cut-off was associated with poorer survival prognosis in ovarian cancer [OS: HR 1.80 (95% CI 1.37-2.37), p = 0.000; PFS: HR 1.63 (95% CI 1.38-1.91), p = 0.000] and cervical cancer [OS: HR 1.36 (95% CI 1.10-1.68), p = 0.005; PFS: HR 1.40 (95% CI 1.16-1.70), p = 0.002], but not in endometrial cancer [OS: HR 1.95 (95% CI 0.65-5.84), p = 0.234].

CONCLUSIONS

The current meta-analysis revealed that pretreatment PLR was a simple, promising prognostic indicator for OS and PFS in ovarian and cervical cancers. But, its significance of prognosis did not agree with endometrial neoplasm. However, due to the limited number of original studies, future large-scale studies with more well-designed, high-quality studies are still needed.