Prognostic Significance of Preoperative Prognostic Nutritional Index in Epithelial Ovarian Cancer Patients Treated with Platinum-Based Chemotherapy

Prognostic value of systemic inflammation response indexes obtained from the complete blood count in patients treated for advanced ovarian carcinoma in front line

OBJECTIVE

Various systemic inflammation response indexes (SIRI) have repeatedly been described as prognostic factors in ovarian cancer. They have not been validated in prospective trials and published results are sometimes contradictory. We aimed to explore their role in a cohort of patients diagnosed with stage III and IV ovarian cancer treated at our institution.

METHODS

We retrospectively examined the prognostic influence of the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), the monocyte-to-lymphocyte ratio (MLR), the red cell distribution width (RDW), and the mean platelet volume (MPV).

RESULTS

A total of 77 patients were analyzed. NLR > 2.243 at diagnosis, NLR before primary surgery, MLR at diagnosis, PLR > 289.1 at diagnosis, and PLR at diagnosis were significant in univariate Cox regression for progression-free survival, but none of them retained their significance in the multivariate Cox regression analysis. For overall survival, NLR >  = 2.53 at diagnosis, MLR >  = 0.245 at diagnosis, and PLR >  = 198.3 at diagnosis resulted significant in univariate COX regression; only PLR >  = 198.3 at diagnosis retained its significance in the multivariate analysis.

CONCLUSION

In our cohort, PLR >  = 198.3 was an independent prognostic factor for worse OS. The definitive role of SIRI in ovarian cancer has not yet been established. If their value as prognostic factors could finally be established, they would become a simple and economical method to predict prognosis in patients with advanced ovarian cancer. Therefore, it is time to conduct prospective, multicenter studies with larger samples to definitively establish its role in ovarian cancer, if any.

Trends in nutritional status and factors affecting prognostic nutritional index in ovarian cancer patients during chemotherapy: a prospective longitudinal study based on generalized estimating equations

PURPOSE

Numerous studies have investigated the relationships between nutritional status and the prognosis of ovarian cancer (OC). However, the majority of these studies have focused on pre-chemotherapy malnutrition, with limited attention given to dynamic changes in nutritional status during chemotherapy and the associated risk factors affecting the prognostic nutritional index (PNI) in OC women. This study aims to explore the variation trend in the nutritional status of OC women over time during chemotherapy and assess its predictive factors.

METHODS

A prospective longitudinal study was conducted from January 2021 to August 2023. Body mass index (BMI), PNI, Nutritional Risk Screening (NRS) 2002, serum albumin, and prealbumin measurements were utilized to assess the nutritional status of OC women. Data were collected through face-to-face interviews before initial chemotherapy (T0) and during the first (T1), third (T2), and fifth (T3) cycles of chemotherapy. Generalized Estimating Equations (GEE) were employed for the analysis of potential predictive factors.

RESULTS

A total of 525 OC women undergoing chemotherapy completed the study. Significantly varied levels of BMI, PNI, and serum concentrations of hemoglobin, albumin, prealbumin, potassium, sodium, magnesium, and calcium were observed in these patients (p < 0.05). The prevalence of nutritional risk decreased over time during chemotherapy (p < 0.05). Nutritional parameters, including BMI, PNI, and the serum concentrations of albumin and prealbumin, exhibited an upward trend in nutritional status throughout the chemotherapy cycles (p < 0.05). Multivariate analysis indicated that higher levels of BMI, serum albumin, prealbumin, absolute lymphocyte count, and hemoglobin ≥ 110 g/L at admission were associated with elevated PNI after chemotherapy (β = 0.077, p = 0.028; β = 0.315, p < 0.001; β = 0.009, p < 0.001; β = 1.359, p < 0.001; β =  - 0.637, p = 0.005).

CONCLUSION

Patients consistently demonstrated improvements in nutritional risk and status from the initiation to the completion of chemotherapy cycles. Nutritional monitoring of OC women, particularly those exhibiting abnormalities at the commencement of chemotherapy, is crucial. Targeted nutritional support programs should be developed to enhance the prognosis of OC women.

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.

Independent predictive value of blood inflammatory composite markers in ovarian cancer: recent clinical evidence and perspective focusing on NLR and PLR

Ovarian cancer (OC) is one of the deadliest malignant tumors affecting women worldwide. The predictive value of some blood inflammatory composite markers in OC has been extensively reported. They can be used for early detection and differential diagnosis of OC and can be used for predicting survival, treatment response, and recurrence in the affected patients. Here, we reviewed the predictive values of composite inflammatory markers based on complete blood count, namely neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio, and systemic inflammation index and markers based on blood protein, namely C-reactive protein-to-albumin ratio and prognostic nutritional index in OC, with a focus on NLR and PLR. We referred to the clinical studies on these six markers, reviewed the patient population, and summarized the marker cut-off values, significance, and limitations of these studies. All these studies were retrospective and most of them were single-center clinical studies with small sample sizes. We found that the cut-off values of these markers have not been unified, and methods used to determine these values varied among studies. The predictive value of these markers on survival was mainly reflected in the postoperative patients of multiple subtypes of ovarian cancer including epithelial OC, high-grade serous ovarian carcinoma, and ovarian clear cell carcinoma. We focused on NLR and PLR and calculated their pooled hazard ratios. NLR and PLR were reliable in predicting overall and progression-free survivals in patients with OC. Therefore, it is necessary to adjust important confounding factors and conduct a long-term follow-up prospective cohort study to further clarify the cut-off values of NLR and PLR and their clinical applications.

Clinical Utility of the Geriatric Nutritional Risk Index Before Surgical Intervention for Epithelial Ovarian Cancer Patients: A Retrospective Study

BACKGROUND

The aim of the study is to analyze the impact of the geriatric nutritional risk index (a patient nutritional assessment item) on the prognoses of epithelial ovarian cancer patients.

METHODS

In this retrospective study conducted at a single hospital, we retrospectively analyzed 75 epithelial ovarian cancer patients who underwent surgical treatment at our hospital from 2010 to 2015. The geriatric nutritional risk index cut-off value was calculated using the receiver operating characteristic curve. Patients were divided into two groups on the basis of the calculated value. Kaplan-Meier curves were prepared for each group, and the difference in survival rates was calculated using the log-rank test. Cox proportional hazards regression analysis was used to compare other factors that affect prognosis.

RESULTS

The geriatric nutritional risk index was calculated to be 97.3. The survival rate was 61.9% for the group of patients with an index value > 97.3, and 39.4% for patients with an index value < 97.3 at 48 months (P < 0.001). A univariate analysis was performed with the following variables: age > 60 years, albumin level < 3.5 g/dL, body mass index < 22, presence of ascites, cancer antigen 125 level > 35 U/mL, type of tumor tissue, residual lesion, and geriatric nutritional risk index < 97.3. Albumin level, residual lesion, and geriatric nutritional risk index showed significant differences. A multivariate analysis was also performed, and only the geriatric nutritional risk index showed a significant difference (P = 0.0481).

CONCLUSIONS

The geriatric nutritional risk index may have a strong influence on the prognoses of epithelial ovarian cancer patients. We recommend utilizing these findings in daily clinical practice and incorporating them into treatment strategies for epithelial ovarian cancer.

The Prognostic Value of Prognostic Nutritional Index in Patients with Ovarian Cancer: A Systematic Review and Meta-Analysis

Controversy still exists with regard to the prognostic value of prognostic nutritional index (PNI) in ovarian cancer. A systematic search based on the databases of Web of Science, Embase, PubMed, Chinese National Knowledge Infrastructure (CNKI) and WanFang Dataset were conducted up to March 22, 2022. We included both retrospective and prospective observational studies with comparison of prognosis of patients who were divided into two groups: low and high PNI group. The Newcastle-Ottawa Scale (NOS) was applied to evaluate the quality of enrolled studies. All analyses were performed using Stata software. The pooled results were reported as hazard ratios (HRs) with the 95% confidence intervals (95% CIs). Finally, 12 studies involving 3,190 patients were included. High PNI group had a significantly improved overall survival (OS, HR: 0.67, 95% CI: 0.53-0.84), progression-free survival (PFS, HR: 0.74, 95% CI: 0.63-0.87), and cancer-specific survival (CSS, HR: 0.43, 95% CI: 0.20-0.94) compared with the low PNI group. The sensitivity analysis and publication bias indicated our results were reliable. PNI could be applied as a promising index to predict prognosis in ovarian cancer. Our results need to be validated in future studies.

A comparison of three preoperative nutritional assessment methods for predicting ovarian cancer patient prognosis: which is better?

BACKGROUND

The study aimed to compare the predictive values of three widely used nutritional assessment methods, body mass index (BMI), Nutritional Risk Screening 2002 (NRS 2002), and the prognostic nutritional index (PNI), for different clinical prognostic indicators of ovarian cancer patients.

METHODS

Patients diagnosed with ovarian cancer treated in our hospital between January 2017 and March 2019 were retrospectively included. The three nutritional assessment methods were assessed, and multivariable analysis was conducted to explore predictive factors for clinical prognoses. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUROC) were generated to evaluate the discriminative abilities of the three nutritional assessment tools.

RESULTS

A total of 442 patients were recruited. Multivariable analysis revealed that the PNI value predicted 1-year death and 1-year recurrence and that both the NRS 2002 score and the PNI value predicted 30-day readmission (P < 0.05). For PNI, AUROCs were 0.834 for predicting 1-year death and 0.719 for 1-year recurrence prediction; for NRS, the AUROC was 0.820 2002 for predicting 30-day readmission. The optimal cutoff values that maximized the prognostic prediction ability were PNI values of 47.75 g/L and 50.40 g/L for 1-year death and 1-year recurrence, respectively, and an NRS 2002 score of 3 points for 30-day readmission following discharge.

CONCLUSION

For ovarian cancer patients, the PNI is better at predicting 1-year death and 30-day readmission after discharge, and the NRS 2002 is superior for predicting 1-year recurrence.

Progress in Applicability of Scoring Systems Based on Nutritional and Inflammatory Parameters for Ovarian Cancer

Ovarian cancer is a malignancy that seriously endangers women’s health; its case fatality rate ranks first among the gynecological malignancies. The status of nutrition of ovarian cancer patients is related to their prognoses. Thus, it is important to evaluate, monitor, and improve the nutritional status of ovarian cancer patients during their treatment. Currently, there are several tools for examining malnutrition and nutritional assessment, including NRI (nutrition risk index), PG-SGA (patient-generated subjective global assessment), and NRS 2002 (nutritional risk screening 2002). In addition to malnutrition risk examination and related assessment tools, the evaluation of muscle mass, C-reactive protein, lymphocytes, and other inflammation status indicators, such as neutrophils to lymphocytes ratio, lymphocyte-to-monocyte ratio, and C-reactive protein-albumin ratio, is of great importance. The nutritional status of ovarian cancer patients undergoing surgery affects their postoperative complications and survival rates. Accurate evaluation of perioperative nutrition in ovarian cancer patients is crucial in clinical settings. An intelligent nutritional diagnosis can be developed based on the results of its systematic and comprehensive assessment, which would lay a foundation for the implementation of personalized and precise nutritional therapy.

The Association between the Preoperative Prognostic Nutritional Index and the Controlling Nutritional Status Score on Tumor Stage, Chemotherapeutic Response and Overall Survival in Ovarian Cancer

This study aimed to investigate the association between preoperative prognostic nutritional index (PNI) and controlling nutritional status (CONUT) scores on the stage of ovarian cancer (OC), chemotherapeutic response, and overall survival (OS) in patients with OC.

The data of the patients who operated due to OC between January 2015 and January 2020 in a tertiary referral hospital were recorded. The patients' basic characteristics, preoperative total cholesterol, albumin, lymphocyte count, tumor markers, disease stage, grade, chemotherapeutic response, OS, and progression-free survival were recorded. The PNI and the CONUT score were calculated.

The mean PNI level was considerably higher in the early-stage group than the advanced-stage group (50.02 ± 6.8 vs. 46.3 ± 7.4, p = 0.005). The AUC was 63% for the cutoff point 45.98 of PNI, whereas the AUC was 42% for the cutoff point 1.5 of CONUT score in predicting early-stage disease. The PFS and OS were significantly higher in the high PNI group than the low PNI group (p = 0.01, p = 0.002, respectively).

The patients with early-stage OC had significantly higher PNI levels and lower CONUT scores in our study population.

LncRNA-MSC-AS1 inhibits the ovarian cancer progression by targeting miR-425-5p

BACKGROUND

Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) were reported to be aberrantly expressed and related to the pathogenesis of ovarian cancer. However, the role and regulatory mechanism of MSC-AS1 in ovarian cancer has yet to be fully elucidated.

METHODS

Expression of lncRNA MSC-AS1 (MSC-AS1) and microRNA-425-5p (miR-425-5p) in the ovarian cancer tissue samples and cell lines was examined by quantitative real-time polymerase chain reaction (qRT-PCR). The functions of MSC-AS1 on ovarian cancer cell proliferation, cell cycle and apoptosis were determined using MTT, colony formation and flow cytometry analyses. The protein expression levels were evaluated using western blot assay. The targeting relationship MSC-AS1 and miR-425-5p was verified via dual-luciferase reporter assay.

RESULTS

MSC-AS1 expression level was lowly expressed, while miR-425-5p level was highly in ovarian cancer tissues and cells. Elevation of MSC-AS1 has the ability to significantly inhibit cell proliferation and facilitate cell apoptosis in SKOV3 and A2780 cells. Moreover, MSC-AS1 targeted and negatively modulated miR-425-5p. MiR-425-5p up-regulation has been proved to partially reverse the tumor suppressive function of MSC-AS1 overexpression CONCLUSION: MSC-AS1 sponged miR-425-5p to inhibit the ovarian cancer progression. These findings may provide a promising therapeutic target for the treatment of ovarian cancer.

Research Progress of Preoperative FPR, FAR or AFR in Patients with Colorectal Cancer

Research has confirmed that plasma albumin (Alb), prealbumin (PA) and fibrinogen (Fib) are involved in regulating the occurrence and development of various tumors. Their levels in peripheral blood are related to the survival outcome and treatment response of patients, but the accuracy and specificity of single application have yet to be fully realized. A growing amount of evidence indicates that predictors such as preoperative fibrinogen to prealbumin ratio (FPR), fibrinogen to albumin ratio (FAR) or albumin to fibrinogen ratio (AFR) are emerging as comprehensive indicators. Indeed, their components play a key regulatory role in the progression of colorectal cancer (CRC). Preoperative FPR, FAR or AFR levels, therefore, are expected to become new biomarkers for prognosis evaluation and curative effect prediction for CRC patients and are significant in the guidance they could provide for the development of individualized treatment strategies.

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.

Prognostic significance of preoperative prognostic nutritional index in ovarian cancer: A systematic review and meta-analysis

BACKGROUND

The prognostic significance of preoperative prognostic nutritional index (PNI) in ovarian cancer (OC) is uncertain, and this study is aimed to clarify the prognostic significance.

METHODS

We used 4 common databases for conducting a systematic review and meta-analysis, and eligible studies were included in the analysis. The association of preoperative PNI with overall survival (OS), progression-free survival (PFS), and clinicopathological parameters was analyzed.

RESULTS

A total of 2050 patients with OC receiving the surgical treatment were analyzed in this study. Patients with low PNI tended to have a shorter OS (hazard ratio [HR] = 1.82, 95% CI = 1.30-2.55, P < .01) and PFS (HR = 1.91, 95% CI = 1.53-2.39, P < .01) compared with those with high PNI. Besides, low PNI was significantly associated with more advanced International Federation of Gynecology and Obstetrics stage (P < .01), the occurrence of ascites (P < .01), larger residual tumor (P < .01), insensitive to chemotherapy (P < .01), and higher CA125 (P < .01) compared with high PNI in OC.

CONCLUSION

Low preoperative PNI is associated with shorter OS, shorter PFS, and worse clinicopathological parameters in OC. Low preoperative PNI is an unfavorable prognostic indicator of patients with OC.

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.

Potential predictors for chemotherapeutic response and prognosis in epithelial ovarian, fallopian tube and primary peritoneal cancer patients treated with platinum-based chemotherapy

Objective

This study aimed to investigate the potential predictive factors for platinum resistance and poor prognosis in epithelial ovarian, fallopian tube, and primary peritoneal cancer treated with platinum-based chemotherapy.

Methods

Medical records of 306 patients with the above mentioned cancers treated with platinum-based chemotherapy between 2007 and 2017 were retrospective reviewed. Clinical data, preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), platinum-free interval, and survival time were recorded. NLR, PLR, and cancer antigen 125 (CA125) levels were calculated for an optimal cutoff point using receiver operating characteristic curves. The clinicopathological variables were compared using univariate and multivariate analyses to identify independent predictive factors for platinum resistance and poor survival outcomes.

Results

The optimal cutoff points for NLR, PLR, and CA125 were 3.38, 210, and 365 IU/L, respectively. Univariate analysis indicated that NLR >3.38, PLR >210, CA125 >365, advanced stage, suboptimal disease, serous type, and ascites were significant predictive factors for platinum resistance. However, only NLR >3.38 and advanced stage were independent predictive factors with an adjusted odds ratio of 1.880 and 3.333, respectively. Regarding factors associated with poor survival outcomes, only PLR >210 and advanced stage were independent factors, with a hazard ratio of 1.578 and 3.994, respectively.

Conclusion

High NLR and advanced stage were potential independent predictive factors for platinum resistance, whereas high PLR and advanced stage were potential independent predictive factors for poor survival outcomes.

Prognostic significance of the controlling nutritional status (CONUT) score in epithelial ovarian cancer

Purpose

The controlling nutritional status (CONUT) score is a nutritional indicator that serves as a prognostic factor for many malignancies. This study aimed to investigate the prognostic significance of pre-treatment CONUT scores in patients with epithelial ovarian cancer.

Methods

We evaluated newly diagnosed patients with epithelial ovarian cancer who were treated at the Nantong Tumor Hospital, between January 2013 and April 2016. Pre-treatment CONUT scores were calculated using serum albumin levels, total lymphocyte counts, and cholesterol levels. The optimal CONUT score cut-off was determined via receiver operating characteristic curve and Youden’s index. The difference in survival rates between the high-CONUT score group and the low-CONUT score group was analyzed using Kaplan-Meier curves and the log-rank test. Univariate and multivariate Cox proportional hazard regression models were used to identify prognostic factors influencing survival in these patients.

Results

In total, 206 patients were included. The optimal cut-off value for the CONUT score was 3. The high-CONUT score group (score ≥3) had higher International Federation of Gynecology and Obstetrics (FIGO) stages, medium-large amounts of ascitic fluid, higher CA125 levels, and more chemoresistance than those with a low-CONUT score (score <3). The low-CONUT score group had longer median overall survival (64.8 vs 32.3 months, respectively; p<0.001) and longer median progression-free survival (32.3 vs 18.8 months, respectively; p=0.002) than those in the high-CONUT score group. Multivariate analysis showed that the CONUT score was an independent prognostic factor for overall survival.

Conclusions

The CONUT score predicts the prognosis of epithelial ovarian cancer and is thus helpful for individualizing treatment and improving survival in these patients.

Is the prognostic nutritional index a prognostic and predictive factor in metastatic non-small cell lung cancer patients treated with first-line chemotherapy?

PURPOSE

We aimed to assess the prognostic and predictive significance of pretreatment Onodera's prognostic nutritional index (OPNI) in metastatic non-small cell lung cancer patients (NSCLC) treated with first-line chemotherapy.

MATERIALS AND METHODS

Patients with metastatic NSCLC who attended five different medical oncology clinics between December 2008 and January 2018 were retrospectively analyzed. The optimal cut-off point for OPNI was performed by a receiver operating characteristic (ROC) curve analysis. Patients were assigned to either the low OPNI group or high OPNI group.

RESULTS

A total of 333 patients were included in the study. Significant differences between the low and high OPNI groups were found regarding the rates of response to chemotherapy, sex, and hemoglobin level (p < 0.05). The patients in high OPNI group had a longer overall survival (OS) (15.3 vs. 10.6 months, p < 0.001) and progression-free survival (PFS) (6.7 vs. 5.3 months, p < 0.001) compared to the patients in low OPNI group. A multivariate analysis using Cox regression model revealed that a high OPNI score was an independent prognostic factor of OS (HR = 1.535, p = 0.002) and PFS (HR = 1.336, p = 0.014), but failed to demonstrate a statistical significance of pretreatment OPNI scores in predicting treatment response (p = 0.56).

CONCLUSIONS

Pretreatment OPNI is an independent prognostic factor for OS and PFS in metastatic NSCLC patients treated with first-line chemotherapy. Thus, it may be used as easily calculated and low-cost prognostic tool in the routine clinical practice in this patient group.

Pre-treatment prognostic nutritional index is superior to platelet count in predicting disease-specific survival in patients with epithelial ovarian cancer

OBJECTIVE

Both pre-treatment prognostic nutritional index and platelet count were reported to be independent prognostic factors in epithelial ovarian cancer patients. However, their relationship has not been investigated. The aim of this study was to investigate the association between the pre-treatment prognostic nutritional index and platelet count, and to compare their utility as prognostic indicators for patients with epithelial ovarian cancer.

METHODS

Clinical data from epithelial ovarian cancer patients treated between April 2007 and March 2016 were collected and retrospectively reviewed. The association between the pre-treatment prognostic nutritional index and platelet count was evaluated using Spearman's rank correlation coefficient. After determining the cut-off values for the pre-treatment platelet count and prognostic nutritional index for predicting disease-specific survival by time-dependent receiver operating characteristic (ROC) curve analysis, we compared the clinical utility of platelet counts and the prognostic nutritional index.

RESULTS

A total of 308 patients were included in the analysis. Median age was 57 (range 16-81) years. The International Federation of Gynecology and Obstetrics (FIGO) clinical stage at initial diagnosis was stage I in 137 patients (44.5%), stage II in 27 patients (8.8%), stage III in 96 patients (31.2%), and stage IV in 48 patients (15.6%). Most patients (37.7%) had serous adenocarcinoma. Of the 295 patients who underwent primary or interval debulking surgery, optimal debulking was performed in 240 patients (77.9%). Decresed pre-treatment prognostic nutritional index was correlated with increased pre-treatment platelet count (p<0.0001), and when compared, the prognostic nutritional index had a significantly greater area under the ROC curve value than the platelet count for predicting disease-specific survival (0.8348 vs 0.6413, p=0.0007). An elevated platelet count was significantly associated with a shorter disease-specific survival in epithelial ovarian cancer patients (p<0.0001). However, when the prognostic nutritional index was adjusted, an elevated platelet count did not provide any prognostic information (lower prognostic nutritional index, p=0.45; higher prognostic nutritional index, p=0.77).

CONCLUSIONS

The pre-treatment prognostic nutritional index was superior to the platelet count for predicting disease-specific survival for epithelial ovarian cancer patients. Although pre-treatment thrombocytosis was reported to be an independent poor prognostic factor in epithelial ovarian cancer patients, it generally reflects a lower prognostic nutritional index, and did not provide any prognostic information when the prognostic nutritional index was adjusted.

Prognostic significance of the pretreatment prognostic nutritional index in patients with epithelial ovarian cancer

Objective

We retrospectively investigated the prognostic significance of the pretreatment prognostic nutritional index (PNI) in patients with epithelial ovarian cancer (EOC) according to the clinical stage.

Methods

The baseline characteristics and clinical outcomes of 308 EOC patients were collected and retrospectively reviewed. PNI was defined as 10 × serum albumin (g/L) + 0.005 × lymphocyte count (per mm³) in the peripheral blood. The cut-off value of PNI was defined by time-dependent receiver operating characteristics (ROC) analysis. Univariate or multivariate analysis was conducted to evaluate the association between pretreatment PNI, progression-free survival (PFS), and disease-specific survival (DSS) according to the clinical stage.

Results

The cut-off value of PNI was defined as 44.7 in early-stage patients and 42.9 in advanced-stage patient by ROC analysis, respectively. Although decreased PNI was not associated with short PFS or DSS in early-stage patients, it was significantly correlated with short PFS (p<0.0001) and DSS (p<0.0001) in advanced-stage patients. In multivariate analysis, decreased PNI was an independent prognostic predictor of recurrence and short survival in advanced-stage patients.

Conclusion

A decreased pretreatment PNI was an independent poor prognostic factor in patients with advanced EOC.

Stromal cell ratio based on automated image analysis as a predictor for platinum-resistant recurrent ovarian cancer

Background

Identifying high-risk patients for platinum resistance is critical for improving clinical management of ovarian cancer. We aimed to use automated image analysis of hematoxylin & eosin (H&E) stained sections to identify the association between microenvironmental composition and platinum-resistant recurrent ovarian cancer.

Methods

Ninety-one patients with ovarian cancer containing the data of automated image analysis for H&E histological sections were initially reviewed.

Results

Seventy-one patients with recurrent disease were finally identified. Among 30 patients with high stromal cell ratio, 60% of the patients had platinum-resistant recurrence, which was significantly higher than the rate in patients with low stromal cell ratio (9.80%, P <  0.001). Multivariate logistic regression analysis revealed elevated CA125 level after 3 cycles of chemotherapy (P <  0.001) and high stromal cell ratio (P = 0.002) were the negative predictors of platinum-resistant relapse. The area under the curve (AUC) of receiver operating characteristic (ROC) curves of the models for predicting platinum-resistant recurrence with stromal cell ratio, normalization of CA125 level, and the combination of two parameters were 0.78, 0.79, and 0.89 respectively.

Conclusions

Our results demonstrated stromal cell ratio based on automated image analysis may be a potential predictor for ovarian cancer patients at high risk of platinum-resistant recurrence, and it could improve the predictive value of model when combined with normalization of CA125 level after 3 cycles of chemotherapy.

The preoperative prognostic nutritional index is a predictive and prognostic factor of high-grade serous ovarian cancer

BACKGROUND

The aim of our study was to investigate whether an inflammation-based prognostic score, the prognostic nutritional index (PNI), was associated with clinical characteristics and prognosis in patients with high-grade serous ovarian cancer (HGSC).

METHODS

We retrospectively investigated 875 patients who underwent primary staging or debulking surgery for HGSC between April 2005 and June 2013 at our institution. None of these patients received neoadjuvant chemotherapy. Preoperative PNI was calculated as serum albumin (g/L) + 0.005 × lymphocyte count (per mm³). The optimal PNI cutoff value for overall survival (OS) was identified using the online tool "Cutoff Finder". Clinical characteristics and PNI were compared with chi-square or Fisher's exact tests, as appropriate. The impact of PNI on OS was analyzed using the Kaplan-Meier method and Cox proportional hazards model.

RESULTS

The median (range) PNI was 46.2 (29.2-67.7). The 45.45 cutoff value discriminated patients into the high-PNI and low-PNI groups. A low preoperative PNI was associated with an advanced FIGO stage, increased CA125 level, more extensive ascites, residual disease and platinum resistance. For univariate analyses, a high PNI was associated with increased OS (p < 0.001). In multivariate analyses, the PNI remained an independent predictor of OS as a continuous variable (p = 0.021) but not as dichotomized groups (p = 0.346).

CONCLUSION

Our study demonstrated that the PNI could be a predictive and prognostic parameter for HGSC.

The preoperative albumin level is an independent prognostic factor for optimally debulked epithelial ovarian cancer

PURPOSE

A low albumin level has been reported to be a prognostic factor for various cancers. The aim of this study was to determine the association between preoperative serum albumin level and survival in patients with epithelial ovarian cancer (EOC).

METHODS

Records of 337 patients with EOC that underwent optimal cytoreductive surgery were retrospectively reviewed. Threshold albumin level was planned as 32.5 g L^-1 due to the statistical analyses.

RESULTS

Mean overall survival was 51.5 months. Area under the ROC curve was found statistically significant for the discriminative role of albumin for survival outcome (AUC = 0.857, 95% CI 0.813-0.90, P < 0.001). The best cut-off point for albumin was determined as 32.5 g L^-1. The sensitivity rate, specificity rate, positive and negative predictive values, and accuracy rate for this cut-off level were found 67.2, 91.2, 81.2, 83.1, and 82.5%, respectively. Preoperative hypoalbuminemia was noted in 101 (30.0%) of the patients, of which 6.2% had an albumin level <25 g L^-1. The albumin level was independently and significantly associated with overall survival (HR 2.6; 95% CI 2.1-3.1; P < 0.001). Subgroup analysis showed that patients with an albumin level <32.5 and ≥32.5 g L^-1 had mean estimated overall survival of 40.6 and 96.0 months, respectively. Age, stage, and presence of ascites were the other independent significant factors.

CONCLUSIONS

The preoperative albumin level is an independent prognostic factor for overall survival in optimally debulked EOC patients. Further investigations about preoperative albumin level in prognostic models will contribute to the literature.

Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer

Many established inflammation- and nutrition-related factors have been investigated as potential independent prognostic factors in various cancers, including the C-reactive protein/albumin ratio (CAR), lymphocyte/monocyte ratio (LMR), modified Glasgow prognostic score (mGPS), body mass index (BMI), and prognostic nutritional index (PNI). This study was performed to estimate the prognostic value of these factors in predicting survival and platinum resistance in ovarian cancer (OC), especially according to stage. Kaplan-Meier and multivariate analyses were performed to plot the survival curve and determine the independent prognostic factors. Additionally, the area under the receiver operating characteristic curve (AUC) was used to predict platinum resistance and prognosis by comparing the predictive ability of PNI and cancer antigen (CA)-125. In all patients, decreased PNI was significantly associated with platinum resistance and poor overall survival (OS) and progression-free survival (PFS). Regarding tumor stage, decreased PNI was significantly associated with poor PFS and OS only in stage III OC. Furthermore, the PNI also showed a significantly higher AUC value than CA-125 for predicting mortality and platinum resistance in all OC patients, but not in stage III patients. In conclusion, decreased PNI is a powerful predictor of a poor prognosis in OC, and especially for stage III cases.

Prognostic value of the c-reactive protein/prognostic nutritional index ratio after hip fracture surgery in the elderly population

Background

More and more older patients receive the surgery after hip fracture. However, the mortality rate is high. Prognostic nutritional index (PNI) is associated with prognosis in hip fracture patients. In the current study, we proposed a novel prognostic score, named c-reactive protein/PNI ratio (CRP/PNI ratio), for predicting the prognosis for geriatric orthopedic population.

Methods

This is a prospective study. Eighty cases of hip fracture surgery in the elderly population were studied to reveal the relationship between the CRP/PNI ratio and the clinicopathological characteristics of the elderly patients. Clinical data included age, sex, weight, length of stay, duration of surgery, comorbidity, and biological data were collected. The primary endpoint was the 1-year mortality rate.

Results

Cox regression and log-rank tests were used to evaluate the correlation of CRP/PNI to the one-year mortality. The one-year mortality rate was low in the patients with a low CRP/PNI ratio (P < 0.001). Univariate and multivariate survival analyses proved that CRP/PNI was an important factor to predict the one-year mortality rate of the geriatric hip fracture surgery patients.

Conclusion

Low CRP/PNI ratio was significantly associated with low one-year mortality rate in older patients after hip fracture surgery.