Combination of preoperative neutrophil-lymphocyte ratio, platelet-lymphocyte ratio and monocyte-lymphocyte ratio: a superior prognostic factor of endometrial cancer

Preoperative Laboratory Values Predicting Periprosthetic Joint Infection in Morbidly Obese Patients Undergoing Total Hip or Knee Arthroplasty

BACKGROUND

Morbidly obese patients are an ever-growing high-risk population undergoing total hip arthroplasty (THA) and total knee arthroplasty (TKA) for end-stage osteoarthritis. This study sought to identify preoperative laboratory values that may serve as predictors of periprosthetic joint infection (PJI) in morbidly obese patients undergoing THA or TKA.

METHODS

All morbidly obese patients with preoperative laboratory data before undergoing primary elective TKA or THA were identified using the Premier Healthcare Database. Patients who developed PJI within 90 days after surgery were compared with patients without PJI. Laboratory value thresholds were defined by clinical guidelines or primary literature. Univariate and multivariable regression analyses were utilized to assess the association between PJI and preoperative laboratory values, including total lymphocyte count, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), albumin level, platelet count, albumin-globulin ratio, hemoglobin level, and hemoglobin A1c.

RESULTS

Of the 6,780 patients identified (TKA: 76.67%; THA: 23.33%), 47 (0.69%) developed PJI within 90 days after surgery. The rate of PJI was 1.69% for patients with a hemoglobin level of <12 g/dL (for females) or <13 g/dL (for males), 2.14% for those with a platelet count of <142,000/µL or >417,000/µL, 1.11% for those with an NLR of >3.31, 1.69% for those with a PLR of >182.3, and 1.05% for those with an SII of >776.2. After accounting for potential confounding factors, we observed an association between PJI and an abnormal preoperative NLR (adjusted odds ratio [aOR]: 2.38, 95% confidence interval [CI]: 1.04 to 5.44, p = 0.039), PLR (aOR: 4.86, 95% CI: 2.15 to 10.95, p < 0.001), SII (aOR: 2.44, 95% CI: 1.09 to 5.44, p = 0.029), platelet count (aOR: 3.50, 95% CI: 1.11 to 10.99, p = 0.032), and hemoglobin level (aOR: 2.62, 95% CI: 1.06 to 6.50, p = 0.038).

CONCLUSIONS

This study identified preoperative anemia, abnormal platelet count, and elevated NLR, PLR, and SII to be associated with an increased risk of PJI among patients with a body mass index of ≥40 kg/m 2 . These findings may help surgeons risk-stratify this high-risk patient population.

LEVEL OF EVIDENCE

Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.

Clinical Correlations between Serological Markers and Endometrial Cancer

Background: Endometrial cancer is associated with changes in blood cell counts and with high levels of inflammatory markers, thus reflecting the tumor's impact on various biological processes and suggesting their potential as biomarkers for endometrial cancer diagnosis, prognosis, and treatment response. The neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and monocyte-to-lymphocyte ratio in peripheral blood sampled preoperatively from patients have been reported to be independently associated with the prognosis of different types of malignancies. Objectives: This study aimed to compare several blood markers-red blood cells, white blood cells, platelet parameters, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, C-reactive protein, and fibrinogen-in patients with benign or malignant endometrial tumors. Material and methods: Our retrospective study included 670 patients (192 diagnosed with endometrial cancer and 478 with endometrial hyperplasia), and we compared the serological parameters discussed above with those sampled the day before surgery. Results: Analysis of complete blood count indices revealed no significant differences in red blood cell or total white blood cell parameters between the endometrial cancer group and the endometrial hyperplasia group. However, a distinct pattern emerged in the white blood cell differential. The endometrial cancer group showed a statistically significant decrease in lymphocyte count compared with the endometrial hyperplasia group. In contrast, the endometrial cancer group showed significantly higher mean platelet counts and increased mean platelet volume compared with controls. Furthermore, the endometrial cancer group demonstrated a marked inflammatory response, as evidenced by significantly elevated levels of C-reactive protein, fibrinogen, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and monocyte-to-lymphocyte ratio compared with the endometrial hyperplasia group. Conclusions: The current research revealed statistically significant differences in multiple serological biomarkers between the two groups. These findings support the initial hypothesis regarding the potential utility of these biomarkers in endometrial cancer diagnosis, prognosis, and treatment response, highlighting the existence of biomarkers affordable for analysis under any health system, regardless of the country's level of development.

Preoperative evaluation and a nomogram prediction model for pelvic lymph node metastasis in endometrial cancer

OBJECTIVE

The primary objective of this study is to explore the preoperative risk factors of pelvic lymph node metastasis (PLNM) in endometrial cancer patients, and construct a nomogram prediction model.

MATERIALS AND METHODS

We retrospectively collected various preoperative clinical characteristics of patients and analyzed their relationship with PLNM. Logistic regression analysis was used to screen for independent risk factors for PLNM of endometrial cancer. A nomogram prediction model was constructed, the receiver operating characteristic (ROC), calibration curve and decision curve analysis (DCA) were constructed and used to assess discrimination, calibration, and net benefit.

RESULTS

Out of the 276 patients, 74 (26.81%) with postoperative pathological confirmation of PLNM. Multivariate logistic regressive analysis demonstrated that preoperative depth of myometrial invasion (DIM) ≥50% determined by Magnetic Resonance Imaging (MRI) (p = 0.003), carbohydrate antigen 125 (CA125) (p = 0.030), carbohydrate antigen 19-9 (CA 19-9) (p = 0.044), and platelet/lymphocyte ratio (PLR) (p = 0.025) could serve as independent risk factors for PLNM. A risk factors-based nomogram prediction model was constructed, which showed good discrimination (AUC = 0.841, p < 0.001) and good efficacy (C-index = 0.842) and good calibration (mean absolute error = 0.046). DCA showed that the model can provide clinical benefits.

CONCLUSIONS

Preoperative DIM ≥50% determined by MRI, serum CA 19-9, CA125 and PLR could be utilized to predict PLNM in endometrial cancer patients. This nomogram prediction model can provide preoperative help for evaluation and identification of patients with endometrial cancer, and provide a theoretical basis for clinical intervention.

The predictive value of NLR, PLR and MLR in the differential diagnosis of benign uterine diseases and endometrial malignant tumors

OBJECTIVE

To explore the application of neutrophils to lymphocytes ratio (NLR), platelet to lymphocyte ratio (PLR) and monocyte to lymphocyte ratio (MLR) in the differential diagnosis of benign uterine diseases and endometrial malignant tumors.

METHODS

80 patients with endometrial malignant tumor diagnosed in our hospital from January 2019 to December 2022 were selected as the study group, and 74 patients with benign uterine diseases confirmed by pathology in our hospital during the same period were randomly selected as the control group. The differences of NLR, PLR and MLR in the peripheral blood of patients in each group were compared, and the value of individual indicators in the diagnosis of endometrial malignant tumor was evaluated using the Receiver Operating Characteristic (ROC) curve.

RESULTS

In peripheral blood, the NLR, PLR and MLR value in patients with endometrial cancer (EC) were significantly higher than those in patients with benign uterine diseases (P < 0.05). The area under the curve (AUC) of NLR, PLR, MLR in peripheral blood were 0.777, 0. 675 and 0.698. The best cutoff values were 2.02, 132.06 and 0.166. The sensitivity and specificity were 62.5% and 79.7%, 62.5% and 63.5%, 81 3% and 47.3%. The combination of these three indicators can significantly improved the diagnostic efficiency in endometrial cancer (AUC = 0.780), and the sensitivity and specificity were 60% and 83.8%.

CONCLUSIONS

In peripheral blood, NLR, PLR and MLR have certain diagnostic value in the differential diagnosis of endometrial cancer. When NLR, PLR and MLR are elevated, we should be alert to the occurrence of endometrial malignant tumors, and the combined diagnostic efficiency is high.

CT-based radiomics combined with hematologic parameters for survival prediction in locally advanced esophageal cancer patients receiving definitive chemoradiotherapy

OBJECTIVES

The purpose of this study was to investigate the prognostic significance of radiomics in conjunction with hematological parameters in relation to the overall survival (OS) of individuals diagnosed with esophageal squamous cell carcinoma (ESCC) following definitive chemoradiotherapy (dCRT).

METHODS

In this retrospective analysis, a total of 122 patients with locally advanced ESCC were included. These patients were randomly assigned to either the training cohort (n = 85) or the validation cohort (n = 37). In the training group, the least absolute shrinkage and selection operator (LASSO) regression was utilized to choose the best radiomic features for calculating the Rad-score. To develop a nomogram model, both univariate and multivariate analyses were conducted to identify the clinical factors and hematologic parameters that could predict the OS. The performance of the predictive model was evaluated using the C-index, while the accuracy was assessed through the calibration curve.

RESULTS

The Rad-score was calculated by selecting 10 radiomic features through LASSO regression. OS was predicted independently by neutrophil-to-monocyte ratio (NMR) and Rad-score according to the results of multivariate analysis. Patients who had a Rad-score > 0.47 and an NMR > 9.76 were at a significant risk of mortality. A nomogram was constructed using the findings from the multivariate analysis. In the training cohort, the nomogram had a C-index of 0.619, while in the validation cohort, it was 0.573. The model's accuracy was demonstrated by the calibration curve, which was excellent.

CONCLUSION

A prognostic model utilizing radiomics and hematologic parameters was developed, enabling the prediction of OS in patients with ESCC following dCRT.

CRITICAL RELEVANCE STATEMENT

Patients with esophageal cancer who underwent definitive chemoradiotherapy may benefit from including CT radiomics in the nomogram model.

KEY POINTS

• Predicting the prognosis of ESCC patients before treatment is particularly important. • Patients with a Rad-score > 0.47 and neutrophil-to-monocyte ratio > 9.76 had a high risk of mortality. • CT-based radiomics nomogram model could be used to predict the survival of patients.

Pretreatment systemic inflammatory markers predict survival in endometrial cancer: A Japanese Gynecologic Oncology Group 2043 exploratory data analysis

OBJECTIVE

We investigated whether pretreatment systemic inflammatory markers are associated with survival outcomes in patients with endometrial cancer (EC).

METHODS

Data from the Japanese Gynecologic Oncology Group 2043 were analyzed. Patients who did not receive chemotherapy or were lost to follow-up were excluded. Associations of pretreatment systemic inflammatory markers, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and hemoglobin, albumin, lymphocyte, and platelet (HALP) score, with progression-free survival (PFS) and overall survival (OS) were analyzed. The optimal NLR, PLR, and HALP score cutoff values for PFS and OS were determined. Survival estimates were calculated and compared using the Kaplan-Meier method and log-rank test.

RESULTS

We included 712 patients (median age: 55 [range, 28-74] years; body mass index [BMI]: 21.1 [15.2-38.6] kg/m2). For PFS, optimal NLR, PLR, and HALP score cutoff values were 1.48, 0.017, and 35.52, respectively, and for OS, the values were 1.88, 0.026, and 19.87, respectively. At optimal PFS-related cutoff values, NLR was associated with BMI; PLR with age, BMI, and clinical stage; and HALP score with BMI, clinical stage, and lymph node metastasis. At optimal OS-related cutoff values, NLR was associated with BMI, PLR, and BMI; the HALP score was associated with age and BMI. The HALP score was a prognostic factor for PFS (p = 0.025), while PLR and HALP scores were prognostic factors for OS (both p = 0.028).

CONCLUSIONS

Pretreatment systemic inflammatory markers are associated with survival outcomes in patients with EC, with the HALP score being a prognostic factor for PFS and OS.

Neutrophil to lymphocyte ratio as an assessment tool to differentiate between uterine sarcoma and myoma: a systematic review and meta-analysis

BACKGROUND

This systematic review and meta-analysis aimed to determine the potential value of neutrophil to lymphocyte ratio (NLR) as an assessment tool in the clinical distinction between uterine sarcoma and uterine leiomyoma.

METHODS

We comprehensively searched Web of Science, Scopus, and PubMed for relevant papers published before March 19, 2023. The standardized mean difference (SMD) was provided, along with a 95% confidence interval (CI). The random-effects model was employed to derive pooled effects due to the high levels of heterogeneity. The Newcastle-Ottawa scale was used for the quality assessment. Our study was registered in PROSPERO (CRD42023478331).

RESULTS

Overall, seven articles were included in the analysis. A random-effect model revealed that patients with uterine sarcoma had higher NLR levels compared to those with uterine myoma (SMD = 0.60, 95% CI = 0.22-0.98; p = 0.002). In the subgroup analysis according to sample size, we found that patients with uterine sarcoma had elevated levels of NLR compared to those with uterine myoma in either large studies (SMD = 0.58, 95% CI = 0.04-1.13; P < 0.001) or small studies (SMD = 0.64, 95% CI = 0.33-0.96; P = 0.32). In the sensitivity analysis, we found that the final result was not significantly changed when single studies were removed, suggesting that the finding of this meta-analysis was stable. The pooled sensitivity of NLR was 0.68 (95% CI = 0.61-0.73), and the pooled specificity was 0.64 (95% CI = 0.59-0.69).

CONCLUSION

NLR might be utilized as an assessment tool in clinics to help clinicians differentiate between patients with uterine sarcoma and those with myoma.

Combination of the platelet-to-lymphocyte ratio and fibrinogen may predict 5-year overall survival of patient in non-small cell lung cancer treated with surgery

Background

Non-small cell lung cancer (NSCLC) is a major type of lung cancer with high incidence and mortality. Systemic inflammatory response (SIR) and an imbalance of the coagulation system are both associated with the tumor progression. However, few studies have investigated the prognostic utility of a combination of inflammation and the coagulation system in NSCLC. The combination of platelet-to-lymphocyte ratio (PLR) and fibrinogen (FIB) (PLR-FIB; defined as PLR × FIB) is an indicator reflecting SIR and coagulation concurrently, which have potentiality to predict prognosis of NSCLC.

Methods

This retrospective, single-center study included 314 NSCLC patients with surgery. According to a cutoff value for the PLR-FIB, we divided participants into a low-PLR-FIB group and a high-PLR-FIB group. We retrospectively collected the data on 314 patients and used univariate and multivariate analyses to investigate the relationship between the PLR-FIB and survival.

Results

Univariate analysis showed that adenosquamous carcinoma (ASC) (P=0.002), high PLR-FIB (P=0.023), and tumor-node-metastasis (TNM) stage III-IV (P<0.001) were associated with a poor outcome. On multivariate analysis, low PLR-FIB [hazard ratio (HR), 0.587; 95% confidence interval (CI): 0.359-0.985; P=0.044], and TNM stage I-II (HR, 0.380; 95% CI: 0.245-0.590; P<0.001) were independent factors of a better prognosis. ASC type was an independent prognostic factor of poor outcome (HR, 5.513; 95% CI: 1.895-16.034; P=0.002). There were no significant differences in patient demographics or clinical characteristics between the two PLR-FIB groups (P>0.05). The 5-year overall survival (OS) rates were 80.8% and 67.9% for the low-PLR-FIB group and high-PLR-FIB group, respectively (P=0.02).

Conclusions

Preoperative PLR-FIB was found to be an independent prognostic factor for 5-year overall survival in patients with NSCLC treated with surgery.

Development and validation of a prognostic nomogram model incorporating routine laboratory biomarkers for preoperative patients with endometrial cancer

BACKGROUND

Some biomarkers collected from routine laboratory tests have shown important value in cancer prognosis. The study aimed to evaluate the prognostic significance of routine laboratory biomarkers in patients with endometrial cancer (EC) and to develop credible prognostic nomogram models for clinical application.

METHODS

A total of 727 patients were randomly divided into a training set and a validation set. Cox proportional hazards models were used to evaluate each biomarker's prognostic value, and independent prognostic factors were used to generate overall survival (OS) and progression-free survival (PFS) nomgrams. The efficacy of the nomograms were evaluated by Harrell's concordance index (C-index), receiver operating characteristic (ROC) curves, decision curve analysis (DCA), calibration curves, X-tile analysis and Kaplan‒Meier curves.

RESULTS

Ten significant biomarkers in multivariate Cox analysis were integrated to develop OS and PFS nomograms. The C-indices of the OS- nomogram in the training and validation sets were 0.885 (95% confidence interval (CI), 0.810-0.960) and 0.850 (95% CI, 0.761-0.939), respectively; those of the PFS- nomogram in the training and validation sets were 0.903 (95% CI, 0.866-0.940) and 0.825 (95% CI, 0.711-0.939), respectively. ROC, DCA and calibration curves showed better clinical application value for the nomograms incorporating routine laboratory biomarkers. X-tile analysis and Kaplan‒Meier curves showed that the nomograms were stable and credible in evaluating patients at different risks.

CONCLUSIONS

Nomogram models incorporating routine laboratory biomarkers, including NLR, MLR, fibrinogen, albumin and AB blood type, were demonstrated to be simple, reliable and favourable in predicting the outcomes of patients with EC.

Development and validation of a nomogram for predicting recurrence-free survival in endometrial cancer: a multicenter study

Recurrence is the main cause of death in patients with endometrial cancer (EC). This study aimed to construct and validate a nomogram to predict the recurrence-free survival of patients with EC. This was a multicenter retrospective study. A total of 812 patients from Wuhan Tongji Hospital were divided into training and validation cohorts, and 347 and 580 patients from People's Hospital of Peking University and Qilu Hospital of Shandong, respectively, were used for validation. Univariate and multivariate Cox regression analyses were used to construct a nomogram for predicting recurrence-free survival of EC. Calibration curves, receiver operating characteristic (ROC) curves, and consistency indexes (C-indexes) were used to estimate the performance of the model. Decision curve analysis (DCA) curves were used to assess the clinical utility of the model. Age (P = 0.013), cancer antigen 125 level (P = 0.014), lymphovascular space invasion (P = 0.004), International Federation of Gynecology and Obstetrics stage (P = 0.034), and P53 (P < 0.001) were independently associated with recurrence, and we constructed a nomogram based on these variables. The C-indexes of the validation cohorts were 0.880, 0.835, and 0.875, respectively. The calibration, ROC, and DCA curves revealed that this model had excellent performance and clinical utility. Combining clinical data, clinicopathological factors, serological indicators, and immunohistochemical marks, a multicenter externally verified nomogram with robust performance was constructed to predict the recurrence of patients with EC.

Prognostic utility of neutrophil-to-albumin ratio in surgically treated oral squamous cell carcinoma

BACKGROUND

We aimed to evaluate the prognostic significance of preoperative neutrophil-to-albumin ratio (NAR) in oral squamous cell carcinoma (OSCC).

METHODS

A total of 622 patients with surgically treated OSCC were enrolled. NAR was defined as the absolute neutrophil count divided by the serum albumin level in peripheral blood before the radical surgery. Cox proportional hazards model were used to discover survival outcome-associated factors.

RESULTS

The optimal cut-off of NAR to predict overall survival (OS) was determined to be 0.1. In Cox model, high NAR was identified as an independent negative prognosticator of OS, cancer-specific survival, and recurrence-free survival (adjusted hazard ratio: 1.503, 1.958, and 1.727, respectively; all p < 0.05). The NAR-based nomogram accurately predicted OS (concordance index: 0.750).

CONCLUSION

Our study suggests that preoperative NAR is a convenient and effective prognostic marker for OSCC and NAR-based nomogram can be a promising prognostic tool in clinical setting.

Prognostic Role of Neutrophil, Monocyte and Platelet to Lymphocyte Ratios in Advanced Ovarian Cancer According to the Time of Debulking Surgery

Despite a multimodal radical treatment, mortality of advanced epithelial ovarian cancer (AEOC) remains high. Host-related factors, such as systemic inflammatory response and its interplay with the immune system, remain underexplored. We hypothesized that the prognostic impact of this response could vary between patients undergoing primary debulking surgery (PDS) and those undergoing interval debulking surgery (IDS). Therefore, we evaluated the outcomes of two surgical groups of newly diagnosed AEOC patients according to the neutrophil, monocyte and platelet to lymphocyte ratios (NLR, MLR, PLR), taking median ratio values as cutoffs. In the PDS group (n = 61), low NLR and PLR subgroups showed significantly better overall survival (not reached (NR) vs. 72.7 months, 95% confidence interval [CI]: 40.9-95.2, p = 0.019; and NR vs. 56.1 months, 95% CI: 40.9-95.2, p = 0.004, respectively) than those with high values. Similar results were observed in progression free survival. NLR and PLR-high values resulted in negative prognostic factors, adjusting for residual disease, BRCA1/2 status and stage (HR 2.48, 95% CI: 1.03-5.99, p = 0.043, and HR 2.91, 95% CI: 1.11-7.64, p = 0.03, respectively). In the IDS group (n = 85), ratios were not significant prognostic factors. We conclude that NLR and PLR may have prognostic value in the PDS setting, but none in IDS, suggesting that time of surgery can modulate the prognostic impact of baseline complete blood count (CBC).

Clinical significance of prognostic nutritional index (PNI)-monocyte-to-lymphocyte ratio (MLR)-platelet (PLT) score on postoperative outcomes in non-metastatic clear cell renal cell carcinoma

BACKGROUND

Prognositic nutritional index (PNI), monocyte-to-lymphocyte ratio (MLR) and platelet (PLT) are associated with tumor survival in many human malignancies. Whereas, no study combined PNI-MLR-PLT score and indicated its predictive significance on the prognosis of patients with non-metastatic clear cell renal cell carcinoma (ccRCC).

METHODS

In this study, we retrospectively collected the clinicopathological characteristics and prognostic data from 164 cases of non-metastatic ccRCC and aimed to determine the clinical significance of PNI-MLR-PLT score on patients' outcomes after surgery. The optimal cut-off values of PNI (PNI > 47.40 vs PNI < 47.40), MLR (MLR > 0.31 vs MLR < 0.31) and PLT (PLT > 245 vs PLT < 245) were identified with relative operating characteristic (ROC) curve analysis. The PNI-MLR-PLT score system was established by the value of three indexes, each indication was assigned a score of 0 or 1. Overall survival (OS) and metastasis-free survival (MFS) were analyzed using Kaplan-Meier estimate and Cox regression models.

RESULTS

The mean follow-up period was 85.67 months. Eight (5.0%) patients died, 4 (2.0%) relapsed, and 7 (4.0%) developed metastasis after surgery. The 3-year OS and MFS rates were 98.2% and 97.6%, and the 5-year OS and MFS rates were both 90.2%. Our results suggested that PNI-MLR-PLT score negatively correlated with pathological T stage and tumor grade. Survival outcomes revealed that lower PNI-MLR-PLT score is associated with inferior OS (P < 0.001) and MFS (P < 0.001) after surgery. Subgroup analysis regarding pathological T stage, tumor grade and surgical modalities obtained consistent results. univariable and multivariable Cox analysis showed that high PNI-MLR-PLT score was the independent protective factor of tumor survival in non-metastatic ccRCC patients.

CONCLUSIONS

Our data suggested that PNI-MLR-PLT score could serve as a promising independent prognostic factor in patients with non-metastatic ccRCC.

Hematologic inflammatory indexes as a prognostic factor in endometrial cancer grading and staging

Background

Endometrial cancer is one the most popular types of cancer in women in the world, also a common type of cancer among Iranian females. Neutrophils to lymphocytes (NLR) and platelet to lymphocyte (PLR) ratios are two practical and available indicators in endometrial cancer. We examined their correlation in these patients and determined that they could be used as a prognostic factor in grading and staging this cancer. This study takes a practical approach and recommends a screening strategy for asymptomatic women diagnosed with cancer in its early stages.

Methods

Endometrial cancer patients were included in this cross-sectional study based on histological findings. NLR is known as the proportion of neutrophils to absolute lymphocytes, while PLR is known as the proportion of platelets to lymphocytes. The NLR and PLR were evaluated and their relationship to the grade and stage of cancer.

Results

PLR and NLR values were calculated, and the mean values were 4.917±5.870 and 16.019±18.963, respectively. NLR and PLR were more significant in group 2 patients. Additionally, a strong and statistically significant relationship existed between these two methods (p<0.001). For the NL and PL methods, the optimal cutting point was 3.66 and 13.26, respectively. The NL method had a specificity of 0.906 and a sensitivity of 0.564. The PL and NL zones had values of 0.697 and 0.725, respectively. Although there is no remarkable difference among these areas, the AUC of PL power is slightly better than the NL method. It demonstrates that they are capable of increasing detection power by more than 50%.

Conclusion

This study concluded that PLR and NLR were identified as independent prognostic items associated with the stage and grade of endometrial cancer.

Enhanced recovery after surgery program alleviates neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in patients undergoing gynecological surgery

Background

To evaluate the efficacy of the enhanced recovery after surgery (ERAS) programs on the systemic inflammatory response (SIR) of patients following gynecological surgery, a randomized controlled trial was performed to compare the ERAS programs with the conventional perioperative care programs. Furthermore, novel SIR markers could be identified to evaluate the ERAS programs of gynecological surgery.

Methods

Patients undergoing gynecological surgery were randomly allocated to either the ERAS group or the conventional group. The correlations between the elements of ERAS protocols and SIR markers following gynecological surgery were evaluated.

Results

A total of 340 patients who underwent gynecological surgery were enrolled (ERAS = 170; conventional = 170). First, we identified whether the ERAS programs after gynecological surgery reduced the perioperative difference between neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). Interestingly, first flatus time postoperatively, visual analog scale (VAS) score of patients was positively correlated with the perioperative difference NLR or PLR. Moreover, we discovered that the perioperative difference NLR or PLR was correlated with elements of ERAS protocol, including first sips of water, first semifluid diet postoperatively, pelvic drain duration, and out-of-bed time of patients.

Conclusion

We originally reveal that certain elements of ERAS programs alleviated SIR to operation. The implementation of ERAS programs enhances postoperative recovery after gynecological surgery via improving system inflammatory status. NLR or PLR could be the novel and inexpensive marker to assess ERAS programs in gynecological surgery.Clinical trial registration:ClinicalTrials.gov, identifier, NCT03629626.

The Association between Diabetes Mellitus, High Monocyte/Lymphocyte Ratio, and Survival in Endometrial Cancer: A Retrospective Cohort Study

This retrospective cohort study aimed to evaluate the factors related to endometrial cancer (EC) prognosis and survival in eastern Taiwan. The study involved 48 patients diagnosed with EC who underwent hysterectomy-based surgery at Hualien Tzu Chi hospital between January 2011 and June 2021. The patients’ medical history and laboratory examination results were reviewed. Progression-free survival and overall survival were determined. Categorical variables were analyzed using the chi-square test, and continuous variables were analyzed using the independent t-test. The receiver operating characteristic curve was used to predict diagnostic value. Factors associated with cancer mortality were identified via Cox regression analysis (p < 0.05). Patients were divided into the death (n = 7) and survival (n = 41) groups. The median age of the patients was 56 years (range: 31−71 years). The median observation period was 33.29 months. Diabetes mellitus (DM) and monocyte/lymphocyte ratio (MLR) > 0.23886 were significantly associated with cancer mortality (p = 0.024 and p = 0.028, respectively). MLR-low and MLR-high groups exhibited 5-year overall survival rates of 96% and 60%, respectively, and 5-year progression-free survival rates of 96% and 41%, respectively. DM and MLR of >0.2386 were suggested to be associated with cancer death, poor overall survival, and progression-free survival.

Nomograms Based on Fibrinogen, Albumin, Neutrophil-Lymphocyte Ratio, and Carbohydrate Antigen 125 for Predicting Endometrial Cancer Prognosis

Background: This study aimed to determine the prognostic value of the preoperative levels of fibrinogen, albumin (ALB), neutrophil−lymphocyte ratio (NLR), and carbohydrate antigen 125 (CA125) in endometrial cancer and to establish nomograms for predicting patient survival. Methods: Patients with endometrial cancer (n = 1483) who underwent surgery were included in this study, and their preoperative fibrinogen, ALB, NLR, and CA125 levels and clinicopathological characteristics were collected. Patients were randomized into a training cohort (70%, n = 1038) and an external validation cohort (30%, n = 445). The Cox regression analysis was performed using the data for the patients in the training cohort to identify independent prognostic factors; nomograms for predicting prognosis were established and validated. Results: High fibrinogen (≥3.185 g/L), NLR (≥2.521 g/L), and CA125 (≥35 U/mL) levels and low ALB (<4.185 g/L) levels were independently associated with poor progression-free survival (PFS) and poor overall survival (OS) in patients with endometrial cancer. Prognostic prediction model nomograms were developed and validated based on these results. Calibration curves and C-indexes underscored the good predictive power of the nomograms, and both the net reclassification index (NRI) and integrated discrimination improvement (IDI) values of the prognostic prediction model nomograms were improved. Conclusions: Nomograms that are developed based on preoperative fibrinogen, ALB, NLR, and CA125 levels accurately predict PFS and OS in patients with endometrial cancer.

Study on Preoperative Neutrophil/Lymphocyte (NLR) and Platelet/Lymphocyte Ratio (PLR) as a Predictive Factor in Endometrial Cancer

OBJECTIVE

To evaluate predictive factors between serum inflammatory markers and malignancy potential of endometrium.

METHODS

This retrospective study was conducted at the gynecological oncology unit, department of obstetrics and gynecology, at the faculty of medicine of Thammasat University. The study period was from 2017 to 2020. Endometrial cancer and benign gynecologic disease cases who underwent hysterectomy (with or without adnexectomy) during the study period were recruited. Demographic characteristics, histopathology reports and serum markers were also collected.

RESULTS

The study included a study group of 49 participants with endometrial cancer and a control group consisting of 119 cases of benign uterine disease. The study group had statistically significantly higher mean ages, proportional menopausal status and instances of underlying diseases when compared with the control group. Neutrophil/Lymphocyte ratios (NLR) and Platelet/Lymphocyte ratios (PLR) could not meaningfully predict the malignant potential of endometrium in hysterectomy specimens. NLR and PLR were statistically associated with depth of myometrial invasion (MI) in endometrial cancer cases. NLR equal to or greater than 1.93 predicted MI more than half thickness with sensitivity, specificity, accuracy, positive (PPV) and negative predictive value (NPV) at a percentage of 83.3, 52.8, 37.0, 90.5 and 60.4, respectively. PLR equal to or greater than 134.95 predicted MI of greater than fifty percent thickness with sensitivity, specificity, accuracy, PPV and NPV at 75.0, 55.6, 36.0, 87.0 and 60.4 percent, respectively.

CONCLUSION

NLR and PLR have positive associations with myometrial invasion of endometrial cancer.

Correlation Between Platelet-Lymphocyte Ratio and Neutrophil-Lymphocyte Ratio in Patients with Uterine Leiomyoma: A Cross-Sectional Study

The inflammatory reaction has been proven to be a key factor in the pathogenesis of uterine leiomyoma. The platelet-lymphocyte ratio (PLR) and the neutrophil-lymphocyte ratio (NLR) are inexpensive and reliable inflammatory biomarkers. However, evidence of the relationship between PLR and NLR in patients with uterine leiomyoma is limited. This study aimed to explore the relationship between PLR and NLR in patients with incident uterine leiomyoma. This cross-sectional study included 763 patients with uterine leiomyoma who were first diagnosed in our hospital between January 2016 and December 2016. Patient characteristics were collected for univariate analysis, smooth curve fitting, and multivariate piecewise linear regression. Overall, 722 patients with an average age of 40.16 ± 5.99 years were included. The average PLR was 161.22 ± 65.33. Univariate analysis revealed a significant positive correlation between PLR and NLR (P < 0.0001). In addition, the non-linear relationship between the PLR and NLR was tested using smooth curve fitting after adjusting for potential confounding factors. The multivariate piecewise linear regression model showed that there was a significant positive correlation between PLR and NLR in both PLR <226.45 (β 0.01, 95% CI: 0.01, 0.01;P < 0.0001) and >226.45 (β 0.00, 95% CI: 0.00, 0.00; P=0.0026). In conclusion, PLR and NLR are positively correlated in patients with uterine leiomyoma. This result clarifies the promoting role of inflammation in the occurrence of uterine leiomyoma.

External validation study of endometrial cancer preoperative risk stratification model (ENDORISK)

Introduction

Among industrialized countries, endometrial cancer is a common malignancy with generally an excellent outcome. To personalize medicine, we ideally compile as much information as possible concerning patient prognosis prior to effecting an appropriate treatment decision. Endometrial cancer preoperative risk stratification (ENDORISK) is a machine learning–based computational Bayesian networks model that predicts lymph node metastasis and 5-year disease-specific survival potential with percentual probability. Our objective included validating ENDORISK effectiveness in our patient cohort, assessing its application in the current use of sentinel node biopsy, and verifying its accuracy in advanced stages.

Methods

The ENDORISK model was evaluated with a retrospective cohort of 425 patients from the University Hospital Brno, Czech Republic. Two hundred ninety-nine patients were involved in our disease-specific survival analysis; 226 cases with known lymph node status were available for lymph node metastasis analysis. Patients were included undergoing either pelvic lymph node dissection (N = 84) or sentinel node biopsy (N =70) to explore the accuracy of both staging procedures.

Results

The area under the curve was 0.84 (95% confidence interval [CI], 0.77–0.9) for lymph node metastasis analysis and 0.86 (95% CI, 0.79–0.93) for 5-year disease-specific survival evaluation, indicating quite positive concordance between prediction and reality. Calibration plots to visualize results demonstrated an outstanding predictive value for low-risk cancers (grades 1–2), whereas outcomes were underestimated among high-risk patients (grade 3), especially in disease-specific survival. This phenomenon was even more obvious when patients were subclassified according to FIGO clinical stages.

Conclusions

Our data confirmed ENDORISK model’s laudable predictive ability, particularly among patients with a low risk of lymph node metastasis and expected favorable survival. For high-risk and/or advanced stages, the ENDORISK network needs to be additionally trained/improved.

Beyond mismatch repair deficiency? Pre-treatment neutrophil-to-lymphocyte ratio is associated with improved overall survival in patients with recurrent endometrial cancer treated with immunotherapy

OBJECTIVE

To determine the association of pre-treatment neutrophil-to-lymphocyte ratio (NLR) with progression-free survival (PFS) and overall survival (OS) for patients with recurrent endometrial cancer (EC) treated with immunotherapy.

METHODS

Recurrent EC patients treated with immunotherapy alone or in combination from 2016 to 2021 were included. Demographics, pre-treatment laboratory results, pathologic data, response at first radiographic assessment, and cancer outcomes were obtained from the medical record. Kaplan-Meier curves were generated to compare PFS and OS stratified by NLR.

RESULTS

The 106 patients included in the study were stratified by NLR <6 (n = 77, 72.6%) or NLR ≥6 (n = 29, 27.3%). Most had endometrioid pathology (59%), widely metastatic disease, and 36.8% had received ≥2 treatment lines before initiating immunotherapy. Mismatch repair deficiency (dMMR) was noted in 52 (49.1%) tumors. Most dMMR patients (94.3%) were treated with single-agent pembrolizumab, and most MMR proficient patients (78.7%) were treated with lenvatinb plus pembrolizumab. In the overall cohort, 40.2% (partial response (PR) 29.9%, complete response (CR) 10.4%) of patients with a NLR <6 responded at first radiographic assessment, compared to 31% (PR 27.5%, CR 3.4%) of patients with NLR ≥6 (p 0.691). Kaplan-Meier curves stratified by NLR <6 vs. ≥6 showed no difference in PFS. However, NLR <6 was associated with improved OS (p < 0.05). In the NLR < 6 group, the probability of survival at one year was 69% (95% CI: 58%, 82%), compared to 41% (95% CI: 26%, 67%) for the NLR > 6 group.

CONCLUSIONS

Pre-treatment NLR <6 was associated with improved OS for recurrent EC patients treated with immunotherapy. NLR holds promise as a predictive biomarker for survival after immunotherapy treatment for patients with recurrent EC.

Prognostic Significance of Pretreatment Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, or Monocyte-to-Lymphocyte Ratio in Endometrial Neoplasms: A Systematic Review and Meta-analysis

Aim

Neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), or monocyte–lymphocyte ratio (MLR) has been shown to be related to the poor prognosis of cervical cancer, ovarian cancer, breast cancer, and other malignant tumors, but their role in predicting the prognosis of endometrial cancer is still controversial. Therefore, we conducted this meta-analysis to evaluate the effectiveness of NLR more accurately, PLR, or MLR in predicting the prognosis of endometrial cancer (EC).

Methods

This review systematically searched for relevant publications in databases of the Cochrane Library, PubMed, EMBASE, CNKI, WanFang, VIP, and CBM. Pooled hazard ratios (HR) with 95% confidence intervals (95% CI) were determined and used to explore the association between inflammatory biomarkers (NLR, PLR, and MLR) and overall survival (OS), progression-free survival (PFS), and disease-free survival (DFS) in a random-effects model. We also conducted subgroup analysis and publication bias in this meta-analysis. Stata 12.0 was used for statistical analysis.

Results

This meta-analysis contained 14 eligible studies including 5,274 patients. Our results showed that NLR or PLR was associated with OS [NLR: HR, 2.51; 95% CI, 1.70–3.71; p <0.001 in univariate analysis (Ua); HR, 1.87; 95% CI, 1.34–2.60; p <0.001 in multivariate analysis (Ma); PLR: HR, 2.50; 95% CI, 1.82–3.43; p <0.001 in Ua; HR, 1.86; 95% CI, 1.22–2.83; p = 0.004 in Ma], but MLR was not associated with OS (HR, 1.44; 95% CI, 0.70–2.95; p = 0.325 in Ua; HR, 1.01; 95% CI, 0.39–2.60; p =0.987 in Ma). A further subgroup analysis found that the correlations were not affected by race, cutoff value, sample size, or treatment. Our meta-analysis showed that NLR or PLR was associated with DFS (NLR: HR, 2.50; 95% CI, 1.38–4.56; p =0.003 in Ua; HR, 2.06; 95% CI, 1.26–3.37, P =0.004 in Ma; PLR: HR, 1.91; 95% CI, 1.30–2.81; p = 0.001 in Ua), and NLR was associated with PFS only in the univariate analysis (HR, 1.71; 95% CI, 1.04–2.81; p =0.035 in Ua; HR, 1.79; 95% CI, 0.65–4.89; P =0.257 in Ma), but MLR was not associated with DFS (HR, 0.36; 95% CI, 0.03–4.13; p =0.409 in Ua).

Conclusions

Our results indicated that pretreatment NLR and PLR were biomarkers of poor prognosis in patients with endometrial cancer. The results indicated that NLR or PLR was associated with OS and disease-free survival DFS, and NLR was associated with PFS only in univariate analysis, but MLR was not associated with OS or DFS.

Sarcopenia and Systemic Inflammation Response Index Predict Response to Systemic Therapy for Hepatocellular Carcinoma and Are Associated With Immune Cells

Background

Systemic therapies, including immune checkpoint inhibitors (ICIs) and tyrosine kinase inhibitors (TKIs), have challenged the use of conventional therapies for hepatocellular carcinoma (HCC). It is crucial to determine which patients could benefit most from combination therapy. This study aims to examine the associations of sarcopenia and systemic inflammation response index (SIRI) with the treatment responses and efficacies in patients with HCC treated with ICIs and tyrosine kinase inhibitors TKIs, as well as investigate the correlation between sarcopenia and inflammatory or immune states.

Methods

We reviewed 160 patients with HCC treated with TKIs and ICIs. The patients' psoas muscle size was measured on axial computed tomography scans and normalized for the patients' height squared. This value was referred to as the psoas muscle index (PMI). Sarcopenia was determined from PMI and their relationships with patients' clinicopathological characteristics, inflammation indexes, peripheral blood T-cell subsets and survival were evaluated.

Results

Sarcopenia and systemic inflammation response index (SIRI) were independent predictors for overall survival and progression-free survival. Patients with high PMI and low SIRI demonstrated significantly better median overall survival and progression-free survival (36.0 months and 9.6 months, respectively) than those with either low PMI or high SIRI (20.8 months and 6.0 months, respectively) and those with both high SIRI and low PMI (18.6 months and 3.0 months, respectively). Portal vein tumor thrombus (P=0.003), eastern cooperative oncology group performance status score of 1 (P=0.048), high alkaline phosphatase (P=0.037), high neutrophil-to-lymphocyte ratio (NLR) (P=0.012), low lymphocyte-to-monocyte ratio (LMR) (P=0.031), high platelet-to-lymphocyte ratio (PLR) (P=0.022) and high SIRI (P=0.012) were closely associated with an increased incidence of sarcopenia. PMI was negatively correlated with SIRI (r = -0.175, P=0.003), NLR (r = -0.169, P=0.036), and PLR (r = -0.328, P=0.000) and was significantly positively correlated with LMR (r = 0.232, P=0.004). The CD3+ and CD4+ T-cell counts of the high PMI group were significantly higher than those of the low PMI group.

Conclusion

Sarcopenia and high SIRI were associated with reduced survival in patients with HCC treated with ICIs and TKIs. Sarcopenia could affect inflammatory states and the immune microenvironment.

Prognosis of hepatocellular carcinoma and its association with immune cells using systemic inflammatory response index

Aim: To explore the prognostic value of the systemic inflammatory response index (SIRI) and peripheral blood T-cell subsets in patients with hepatocellular carcinoma (HCC) and the relationship between them. Materials & methods: We treated 352 patients with HCC with sorafenib and/or immune checkpoint inhibitors (ICIs) and analyzed SIRI and peripheral blood T cells. Results: SIRI was an independent prognostic factor for patients with HCC receiving systemic therapy. Patients with high SIRI and low baseline peripheral blood T-cell counts showed a poor response to ICIs. SIRI was significantly and negatively correlated with CD3⁺, CD4⁺ and CD8⁺ T-cell counts. Conclusion: SIRI markers can be employed to noninvasively assess the presence of cancer-promoting inflammation in the tumor microenvironment and predict the efficacy of targeted therapy and immunotherapy.

The comparison of inflammatory markers in geriatric and nongeriatric endometrial cancers

BACKGROUND: The inflammatory markers are associated with adverse clinical outcomes in endometrial cancers (EC), but hematopoietic aging may affect the results. OBJECTIVE: To compare inflammatory markers in geriatric and nongeriatric EC. METHODS: This study included 342 women with endometrial cancers (n: 171) and age-matched controls (n: 171). Geriatric (⩾ 65 years old) and nongeriatric women in each group was compared for inflammatory markers, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), mean platelet volume (MPV), and platelet distribution width (PDW). RESULTS: Geriatric EC had more common nonendometrioid tumors, myometrial invasion, lymph node metastasis, advanced stage, and low overall survival (OS). Nongeriatric EC had low MPV, high NLR, and PDW compared to nongeriatric control. Geriatric EC had low MPV, lymphocyte, and high NLR, PLR compared to geriatric control (p< 0.05). Geriatric EC had significantly low PDW and high NLR, PLR compared to nongeriatric EC in early stages, not in advanced stages. Lymphocyte count was significantly low in geriatric EC with all stages (p< 0.05). In nongeriatric EC, stage was related to platelet count (r: 0.341, p: 0.0019), and PLR (r: 0.252, p: 0.01). OS was negatively related to PLR (r: -0.267, p: 0.007) and NLR (r: -0.353, p: 0.000). In geriatric EC, myometrium invasion was negatively related to lymphocyte count (r: -0.268, p: 0.035). OS was related to neutrophil count (p: 0.352, p: 0.01). MPV was negatively related to stage (r: -0.335, p: 0.01) and OS (r: -0.337, p: 0.02). CONCLUSIONS: The inflammatory responses of geriatric and nongeriatric EC were different in the early and advanced stages. Geriatric EC had low PDW and high NLR, PLR compared to nongeriatric EC in early stages. Decreased lymphocyte count was the most prominent feature of geriatric EC in the early and advanced stages. These results suggested that decreased lymphocyte count may reflect an aggressive course of disease in the elderlies. Future inflammation studies may direct anticancer treatment strategies in geriatric EC. Further research on inflammaging and geriatric EC is needed to increase our understanding of aging and carcinogenesis.

Sera Protein Signatures of Endometrial Cancer Lymph Node Metastases

The presence of lymph node metastases in endometrial cancer patients is a critical factor guiding treatment decisions; however, surgical and imaging methods for their detection are limited by morbidity and inaccuracy. To determine if sera can predict the presence of positive lymph nodes, sera collected from endometrial cancer patients with or without lymph node metastases, and benign gynecology surgical patients (N = 20 per group) were subjected to electron spray ionization mass spectrometry (ES-MS). Peaks that were significantly different among the groups were evaluated by leave one out cross validation (LOOCV) for their ability to differentiation between the groups. Proteins in the peaks were identified by MS/MS of five specimens in each group. Ingenuity Pathway Analysis was used to predict pathways regulated by the protein profiles. LOOCV of sera protein discriminated between each of the group comparisons and predicted positive lymph nodes. Pathways implicated in metastases included loss of PTEN activation and PI3K, AKT and PKA activation, leading to calcium signaling, oxidative phosphorylation and estrogen receptor-induced transcription, leading to platelet activation, epithelial-to-mesenchymal transition and senescence. Upstream activators implicated in these events included neurostimulation and inflammation, activation of G-Protein-Coupled Receptor Gβγ, loss of HER-2 activation and upregulation of the insulin receptor.

Prognostic and Clinical Significance of Aspartate Aminotransferase-to-Lymphocyte Ratio Index in Individuals with Liver Cancer: A Meta-Analysis

Objective

This study was aimed at exploring the prognostic and clinicopathological roles of aspartate aminotransferase-to-lymphocyte ratio index (ALRI) in patients with hepatocellular carcinoma via a meta-analysis.

Methods

The PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and VIP databases were comprehensively searched from inception to November 20, 2021. Pooled hazard ratio (HR) and corresponding 95% confidence interval (CI) were used to evaluate the relationship between ALRI and overall survival (OS) as well as progression-free survival (PFS) in patients with hepatocellular carcinoma. Odds ratio (OR) and the corresponding 95% CI were also used to investigate correlations between clinical factors and ALRI in patients with hepatocellular carcinoma.

Results

A total of 3914 patients with hepatocellular carcinoma from eleven retrospective cohorts were included in this meta-analysis. The combined results revealed that patients with hepatocellular carcinoma with elevated ALRI tended to have unfavorable OS (HR 1.53 [95% CI 1.25–1.82]; P < 0.001). Pooled HRs revealed that high ALRI was an independent risk factor for inferior PFS in patients with hepatocellular carcinoma (HR 1.36 [95% CI 1.10–1.63]; P < 0.001). In addition, high ALRI was strongly associated with male sex (OR 1.32 [95% CI 1.02–1.70]; P = 0.035), presence of cirrhosis (OR 1.68 [95% CI 1.01–2.81]; P = 0.046), larger tumor size (OR 2.25 [95% CI 1.31–3.88]; P < 0.001), presence of portal vein tumor thrombus (OR 2.50 [95% CI 1.52–4.11]; P < 0.001), and distant metastasis (OR 1.72 [95% CI 1.05-2.82]; P = 0.031).

Conclusion

Elevated ALRI in patients with hepatocellular carcinoma predicted inferior survival outcomes and was strongly associated with some important features of hepatocellular carcinoma.

Prognostic value of pretreatment systemic inflammatory markers in patients with stage I endometrial cancer

Objective: Evaluate the prognostic value of monocyte-lymphocyte ratio (MLR) in patients with stage I endometrial cancer. Method: Data from 225 patients with stage I endometrioid endometrial cancer who underwent surgical resection between January 2010 and December 2020 were reviewed. The receiver operating characteristic (ROC) curves were generated for the neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, and MLR. 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 MLR and low MLR groups. Recurrence rate, and disease-free survival were compared between the two groups. The prognostic factors were investigated using univariate and multivariate Cox proportional hazards model. Results: The optimal cut-off value of MLR was 0.220 (AUC, 0.835; p < 0.001). Significantly more patients in the high MLR group experienced recurrence (20.3% vs. 1.9%, p < 0.0001). In multivariate analysis, grade, depth of myometrial invasion, adjuvant RT, and high MLR were independent prognostic factors for disease-free survival. Conclusion: Elevated MLR was significantly associated poor clinical outcomes in patients with stage I endometrioid endometrial cancer. Our findings suggest that MLR may be clinically reliable and useful as an independent prognostic marker for patients with stage I endometrioid endometrial cancer.

Association of laboratorial parameters and prognostic factors in uterine corpus cancer

OBJECTIVE

The aims were to compare the red blood cells, platelet count, neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, red cell distribution width, and fasting glucose in peripheral blood of patients with benign and malignant uterine neoplasms and to relate these laboratory parameters with prognostic factors and overall survival in cancer.

METHODS

The results of the laboratory parameters were analyzed using the Mann-Whitney U test. Receiver operating characteristic curves were used to find the cutoff values. Overall survival was estimated using the Kaplan-Meyer method.

RESULTS

Higher values of neutrophil-lymphocyte ratio and fasting glucose were found in cancer patients. Higher platelet-lymphocyte ratio values were associated with other subtypes when compared with endometrioid subtype; higher values of red cell distribution width were found in stage II/IV when compared with stage I; lower hemoglobin values were related to stage II/IV and nonendometrioid histological type. Platelet-lymphocyte ratio <145.56 was associated with longer overall survival.

CONCLUSION

Hemoglobin and platelet-lymphocyte ratio values are prognostic factors in uterine corpus cancer.

Role of Systemic Inflammatory Reaction in Female Genital Organ Malignancies - State of the Art

Systemic inflammatory reaction (SIR) is an unfavorable prognostic factor in many malignancies and has a role in all stages of the neoplastic process: initiation, promotion, and disease progression. Analysis of SIR can be performed by assessing indicators (eg, lymphocyte-to-neutrophil, platelet-to-lymphocyte, and monocyte-to-neutrophil ratios) and products of neutrophils and lymphocytes (ie, the systemic immune-inflammation index), or by examining the relationship between levels of C-reactive protein and albumin (based on the Glasgow Prognostic Score, modified Glasgow Prognostic Score, and C-reactive protein-to-albumin ratio). Risk stratification is essential in the clinical management of cancer; hence, the evaluation of these factors has potential applications in the clinical management of patients with cancer and in the development of new therapeutic targets. This review summarizes the current knowledge on SIR indicators and presents their clinical utility in malignancies of the female genital organs.

Preoperative Blood Inflammatory Markers for the Differentiation of Uterine Leiomyosarcoma from Leiomyoma

Purpose

Preoperative diagnosis of uterine leiomyosarcoma (LMS) is challenging because the disease can mimic benign leiomyoma (LM). The objective of the present study was to investigate the role of preoperative clinical characteristics and hematologic parameters to differentiate uterine LMS and LM.

Methods

Preoperative clinical and laboratory variables were reviewed retrospectively in patients with LMS or LM, and the significances of intergroup differences were assessed. Receiver operating characteristic (ROC) curves were used to determine optimal cut-off values for each variable. Logistic regression analysis was applied to identify variables predicting the presence of LMS.

Results

The preoperative clinical and laboratory variables of 336 patients with uterine tumor were analyzed. Seventy-nine patients had LMS and 257 had LM. A significant difference was observed between LMS and LM in terms of the median value of age at diagnosis, menopausal status, white blood cell (WBC) count, absolute neutrophil count (ANC), C-reactive protein (CRP), lactate dehydrogenase (LDH), and neutrophil-to-lymphocyte ratio (NLR) (all P < 0.001). Multivariate analyses showed that menopausal status (odds ratio [OR] = 3.40, P= 0.002), WBC count (OR = 2.09, P = 0.012), ANC (OR = 3.17, P < 0.001), CRP (OR = 21.74, P < 0.001), LDH (OR = 10.77, P < 0.001), and NLR (OR = 2.58, P = 0.001) predicted the presence of LMS.

Conclusion

Our results suggest that in older or postmenopausal patients, high WBC count, ANC, CRP, LDH, and NLR could be useful biomarkers for the differentiation of LMS and LM, which indicate that serum markers might be useful, cost-effective, and broadly available diagnostic markers for uterine LMS.

Enhanced Recovery After Surgery Impact on the Systemic Inflammatory Response of Patients Following Gynecological Oncology Surgery: A Prospective Randomized Study

Objective

Enhanced recovery after surgery (ERAS) protocol has widely gained acceptance in gynecological surgery. Its safety and efficacy should be evaluated fully via well-designed, randomized, control trials. The main objective of our study is to compare the ERAS protocol with the conventional perioperative care program after gynecological oncology. Furthermore, the secondary objectives of our study are the identification of markers that allow us to evaluate the effectiveness of the application of ERAS elements in the modulation of the body's response to surgical stress.

Methods

Patients with gynecological tumors indicated for surgery were randomly assigned to either the ERAS group or the conventional group. The ERAS protocol included short fasting time, fluid restriction, early oral feeding, reduced opioid consumption and immediate mobilization after surgery. The primary endpoint was the reduction of hospital stay in the ERAS group. The day of first flatus, postoperative nausea and vomiting (PONV), maximum pain score by the visual analogue scale (VAS) and complication, readmission rate, reoperation rate, postoperative mortality, total hospital cost and systemic inflammatory response (SIR) were secondary endpoints.

Results

A total of 130 patients in gynecological tumor surgery were enrolled (ERAS = 65, conventional = 65). The ERAS group had faster bowel function recovery, significantly less pain, less PONV, shorter hospital stay, and less total hospital costs. SIR markers were estimated and screened out that postoperative platelet, neutrophil-lymphocyte-ratio (NLR) and platelet-lymphocyte-ratio (PLR) were significantly lower in ERAS groups compared to conventional groups.

Conclusion

The implementation of ERAS protocol is safe and enhances postoperative recovery after gynecological oncology surgery. We firstly reveal the beneficial effect of ERAS protocols on the alleviation of postoperative SIR, which is a reflection of the magnitude of surgical trauma. Postoperative platelet, NLR or PLR could be the novel and inexpensive markers to assess how ERAS protocols modulate gynecological oncology surgery.

Trial Registration

The trial was registered in ClinicalTrials.gov (NCT03629626).

Systemic Inflammation Response Index (SIRI) Independently Predicts Survival in Advanced Lung Adenocarcinoma Patients Treated with First-Generation EGFR-TKIs

Background

Systemic inflammation response index (SIRI) has been reported to be an effective blood-based biomarker for predicting prognosis in various kinds of cancer patients. However, the prognostic role of SIRI in advanced lung adenocarcinoma patient remains unclear.

Methods

The aim of the present study is to evaluate the prognostic role of SIRI in EGFR-mutant advanced lung adenocarcinoma patients treated with first-generation EGFR-TKIs. A total of 245 patients who received gefitinib, erlotinib, or icotinib at the Second Xiangya Hospital were retrospectively evaluated. SIRI was defined as neutrophil count×monocyte/lymphocyte count. The optimal cut-off value was determined according to receiver operation characteristic curve analysis. Characteristics of patients were compared via chi-square test or Fisher’s exact test. Survivals were estimated by the Kaplan–Meier method and compared by the Log rank test. Multivariate analysis was estimated using the Cox proportional hazards model.

Results

It is showed that high SIRI was associated with male patient, smoker, worse ECOG PS, 19-DEL mutation. Kaplan–Meier survival analysis showed that ECOG PS, brain metastasis, SIRI were significantly correlated with progression-free survival (PFS), and gender, ECOG PS, brain metastasis, NLR and SIRI were significantly correlated with overall survival (OS). Multivariate analysis showed that SIRI and ECOG PS independently predict PFS and OS.

Conclusion

Our findings indicate that SIRI is an effective and convenient marker for predicting prognosis in advanced EGFR-mutant lung adenocarcinoma patients treated with first-generation TKI.

Postoperative Systemic Immune-Inflammation Index (SII): A Superior Prognostic Factor of Endometrial Cancer

Objective: This study evaluates the preoperative and postoperative systemic immune-inflammation index (SII) capacity to predict the prognosis of patients with endometrial carcinoma after the operation and build a nomogram model to assist clinical practice. Methods: The retrospective study included 362 consecutive patients with surgically resected endometrial cancer between January 2010 and June 2015 at The Affiliated Cancer Hospital of Shantou University Medical College. Blood routine was examined within 1 week before surgery to calculate SII, NLR, PLR, and MLR and 3 days after surgery to measure SII. The Pearson's χ²-test or Fisher's exact test was used to explore their relationship to clinical variables. The univariate and multivariate survival analyses were performed by Cox regression to identify the independent prognostic indicators. The Kaplan-Meier method with the log-rank test was used to generate the overall survival (OS) curves. R software was used to generate the receiver operating characteristic (ROC) curve and then it got the optimum cutoff value through the maximum Youden index. A nomogram model was formed with systemic immune inflammation and clinical factors. Results: The preoperative SII was related to age (p = 0.009), FIGO stage (p = 0.02) and menopause (p = 0.014). The postoperative SII was associated with menopause (p = 0.014). Univariate analysis indicated that FIGO stage, lymphatic invasion, depth of myometrial invasion, postoperative chemotherapy, postoperative radiotherapy, preoperative SII, NLR, PLR, MLR, CRP, CA125, and postoperative SII were predictors of OS (p < 0.05). Multivariate analysis showed that lymphatic invasion and postoperative SII were independent prognostic factors of OS (p < 0.05). The nomogram model was visualized precisely to reflect the prognosis with a C-index value of 0.866 in this model. Conclusion: The postoperative SII is the independent prognostic factor in patients with endometrial carcinoma after the operation and contributes to poor outcomes. However, after surgery, the preoperative SII and preoperative NLR, PLR, and MLR are not associated with OS endometrial carcinoma. Making good use of the nomogram model would contribute to better subsequent therapy.

Preoperative neutrophil-to-lymphocyte, platelet-to-lymphocyte and monocyte-to-lymphocyte ratio as a prognostic factor in non-endometrioid endometrial cancer

Objective: Evaluate the prognostic value of neutrophil-lymphocyte ratio (NMR), platelet-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR) in patients with non-endometrioid endometrial cancer. Method: Laboratory and clinicopathological data from 118 patients with non-endometrioid endometrial cancer who underwent surgical resection between January 2010 and December 2019 were reviewed. NLR, PLR and MLR were analyzed for correlations with recurrence and survival. The receiver operating characteristic (ROC) curves were generated for the NLR, PLR, and MLR. 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 MLR and low MLR groups. Recurrence rate, disease-free survival, and overall survival were compared between the two groups. The prognostic factors were investigated using univariate and multivariate Cox proportional hazards model. Results: The optimal cut-off value of MLR was 0.191 (AUC, 0.718; p < 0.001). Significantly more patients in the high MLR group experienced recurrence (60.3% vs. 15.6%, p < 0.0001) and cancer-related deaths (46.6% vs. 13.3%, p = 0.003). In multivariate analysis, advanced stage and high MLR were independent prognostic factors for disease-free survival and overall survival. Conclusion: Elevated MLR was significantly associated poor clinical outcomes in patients with non endometrioid endometrial cancer. Our findings suggest that MLR may be clinically reliable and useful as an independent prognostic marker for patients with non-endometrioid endometrial cancer.