Diagnostic role of neutrophil-to-lymphocyte ratio and monocyte-to-lymphocyte ratio in patients with enchondroma and low-grade chondrosarcoma

Development and Validation of a Nomogram to Predict the Risk of Special Uterine Leiomyoma Pathological Types or Leiomyosarcoma in Postmenopausal Women: A Retrospective Study

Purpose

The aim of this study was to investigate the risk factors of postmenopausal special uterine leiomyoma pathological types or leiomyosarcoma and to develop a nomogram for clinical risk assessment, ultimately to reduce unnecessary surgical interventions and corresponding economic expenses.

Methods

A total of 707 patients with complete information were enrolled from 1 August 2012 to 1 August 2022. Univariate and multivariate logistic regression models were used to analyse the association between variables and special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients. A nomogram for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients was developed and validated by bootstrap resampling. The calibration curve was used to assess the accuracy of the model and receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were compared with the clinical experience model.

Results

The increasing trend after menopause, the diameter of the largest uterine fibroid, serum carcinoembryonic antigen 125 concentration, Serum neutrophil to lymphocyte ratio, and Serum phosphorus ion concentration were independent risk factors for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients. We developed a user-friendly nomogram which showed good diagnostic performance (AUC=0.724). The model was consistent and the calibration curve of our cohort was close to the ideal diagonal line. DCA indicated that the model has potential value for clinical application. Furthermore, our model was superior to the previous clinical experience model in terms of ROC and DCA.

Conclusion

We have developed a prediction nomogram for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients. This nomogram could serve as an important warning signal and evaluation method for special uterine leiomyoma pathological types or leiomyosarcoma in postmenopausal patients.

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.

Diagnostic and prognostic role of neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, and lymphocyte/monocyte ratio in patients with osteosarcoma

OBJECTIVES

This study aims to evaluate the diagnostic and prognostic significance of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) values in patients with osteosarcoma.

PATIENTS AND METHODS

A total of 172 patients (111 males, 61 females; mean age: 24.3±15.3 years; range, 7 to 82 years) diagnosed with osteosarcoma in our institution between January 2002 and December 2018 were retrospectively analyzed. A total of 165 healthy individuals (115 males, 50 females; mean age: 20.2±9.2 years; range, 10 to 65 years) who did not have infectious, rheumatological or hematological diseases or any pathological finding were assigned as the control group. The clinical, laboratory, and demographic findings of the patients were obtained from hospital records. Pre-treatment NLR, PLR, and LMR values were calculated in all patients. Diagnostic and prognostic values of pre-treatment NLR, PLR and LMR were assessed using receiver operating curve (ROC) analysis. The Kaplan-Meier method was used for survival analysis.

RESULTS

For diagnostic approach, the highest significance in area under the curve (AUC) values was obtained for NLR (AUC=0.763). The AUC for PLR and LMR was statistically significant, while the statistical power was weak compared to NLR (AUC=0.681 and 0.603). The NLR, PLR, and LMR were found to be predictors of mortality. The cut-off value was found to be 3.28 for NLR, 128 for PLR, and 4.22 for LMR. The prognostic value of NLR for mortality was higher than (AUC=0.749) PLR (AUC=0.688) and LMR (AUC=0.609). The NLR, PLR, and LMR were associated with overall survival (OS). There was a significant difference in the median OS time among the NLR, PLR, and LMR values (log-rank test order p<0.001, p=0.001, and p=0.004, respectively).

CONCLUSION

Based on our study results, pre-treatment NLR, PLR and MLR have diagnostic and prognostic values in osteosarcoma.

Are preoperative complete blood count parameters in peripheral nerve sheath tumors useful diagnostic tools?

OBJECTIVES

This study aims to evaluate the diagnostic value of complete blood count (CBC) parameters in patients with peripheral nerve sheath tumors (PNSTs).

PATIENTS AND METHODS

A total of 181 patients (83 males, 98 females; median age: 44 years; range, 15 to 83 years) who underwent surgical treatment for PNSTs in our tertiary oncology center between January 2010 and December 2019 were retrospectively analyzed. Eighty-two patients were diagnosed with a neurofibroma, 79 with a schwannoma, and 20 with a malignant PNST (MPNST). The patient group was evaluated as malignant (n=20) and benign (n=161). Age- and sex-matched patients admitted to our outpatient clinic of orthopedic and traumatology with non-specific symptoms other than tumor, infection, fracture, and rheumatological or hematological diseases were included as the control group (n=165). Data including age, sex, definitive histopathological diagnosis, and pre-treatment CBC values were obtained from the hospital records. Pre-treatment CBC values such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) were calculated for both malignant and benign groups and control groups. Diagnostic values of NLR, PLR, and LMR between PNST groups were assessed using the receiver operating characteristic (ROC) curve analysis.

RESULTS

Neurofibroma, schwannoma, and MNPST groups had significantly higher median NLR, compared to the control group (p<0.001), while the median LMR was significantly lower in these groups (p<0.05). However, the median PLR was higher only in the MPNST group, compared to the control group (p<0.001). Post-hoc analyses revealed that median NLR, PLR, and LMR ratios were similar in PNST groups, compared to the control group. In addition, the median NLR, PLR, and LMR ratios were similar between malignant and benign patient groups. The highest area under the curve (AUC) was found for NLR (AUC=0.756) and LMR (AUC=0.716) in the MPNST group.

CONCLUSION

Our study results suggest that NLR, PLR, and LMR may have an added value in the early diagnosis of PNSTs and are valuable for differentiating patients from healthy individuals, although their value in differential diagnosis is still unclear.

Diagnostic and prognostic role of mean platelet volume and mean platelet volume/platelet ratio in the most common soft tissue sarcomas

Objectives

This study aims to investigate the diagnostic and prognostic role of mean platelet volume (MPV) and MPV/platelet (PLT) ratio in the most common soft tissue sarcomas.

Patients and methods

We retrospectively investigated 131 patients (76 males, 55 females; mean age: 51.8±17.1; range, 18 to 87 years) with soft-tissue sarcomas between January 2011 and January 2019. Demographic features, MPV, PLT counts, mortality, and recurrence records of the patients were obtained from archives. A total of 165 healthy volunteers (101 males, 64 females; mean age 52.9±4.1; range, 18 to 60 years) who applied to the outpatient clinic in 2019 and had routine blood control without any additional disease formed the control group.

Results

A total of 55 patients were diagnosed with liposarcoma and 76 with pleomorphic sarcoma. Of the tumors, 77.1% were located in the lower limbs. Lesions were mostly localized on the thigh 48.8% (n=64). Recurrence occurred in 28.2% of the patients. A total of 25 (19.1%) patients were exitus. The mean follow-up period of the patients was 34.4±19.1 (range, 9 to 112) months. The mean PLT value of the patient group was significantly higher than the control group. The median MPV and MPV/PLT ratio were statistically significantly lower in the patient group than in the control group. The MPV and MPV/PLT ratio were not associated with mortality and recurrence.

Conclusion

As a result, MPV and MPV/PLT ratio can be used as a diagnostic support parameter in soft tissue sarcomas, but have no prognostic value.

Diagnostic and prognostic role of mean platelet volume and mean platelet volume/platelet ratio in patients with primary malignant bone tumor

Objectives

This study aims to investigate the diagnostic and prognostic role of mean platelet volume (MPV) and MPV/platelet (PLT) ratio in primary malignant bone tumors.

Patients and methods

We retrospectively investigated patients with primary malignant bone tumors between January 2010 and January 2019 and included 109 patients (69 males, 40 females; mean age: 41.9±17.9 years; range 15 to 86 years) in the study. A total of 107 healthy volunteers (61 males, 46 females; mean age: 47 years; range 19 to 61 years) who donated blood to the blood center of our hospital in 2019 formed the control group. Demographic features, MPV, PLT counts, mortality, and recurrence records of the patients were obtained from archives.

Results

Of the 109 patients, 11 were diagnosed with Ewing’s sarcoma, 52 with chondrosarcoma, and 46 with osteosarcoma. The tumor was located on the right in 56% of patients and on the lower extremity in 59.6% of patients. The recurrence rate was 41.3% in the patient group. Of the 109 patients, 17 (15.6%) resulted in exitus at follow-up. The mean PLT value of the patient group was significantly higher than the control group (289,440 vs. 247,299, p<0.001). The median MPV and MPV/PLT ratios were statistically significantly lower in the patient group than in the control group (8.3 vs. 10.5, p<0.001 and 0.032 vs. 0.043, p<0.001, respectively). The MPV, PLT count, and MPV/PLT ratio were not associated with mortality and recurrence. The cut-off value was determined as >9.25 fL for MPV (sensitivity=74%, specificity=85%, positive likelihood ratio=4.96, positive predictive value=83.4%, and negative predictive value=76.5).

Conclusion

Consequently, MPV and MPV/PLT ratios can be used as a diagnostic support parameter in primary malignant bone tumors, but have no prognostic value.