The role of blood neutrophil count and the neutrophil-to-lymphocyte ratio as a predictive factor for prostate biopsy results

Kamali, Koorosh; Ashrafi, Mojtaba; Shadpour, Pejman; Ameli, Mojtaba; Khayyamfar, Amirmahdi; Abolhasani, Maryam; Azizpoor, Amin

doi:10.1177/0391560318766822

Cited by 10 publications

(10 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…25 On the other hand, there are some other studies advocating that NLR cannot be used as a PCa marker. 27,28 In our study, NLR was found to be an insignificant parameter on logistic regression analysis for the diagnosis of PCa in patients with a PI-RADS 3 lesion and a PSA of < 10 ng/mL.…”

Section: Discussionmentioning

confidence: 56%

“…Literature indicates that the association between NLR and PCa remains controversial. [26][27][28] Huang et al evaluated 662…”

Section: Discussionmentioning

confidence: 99%

“…There were three parameters, not associated with PCa (NLR, PLR, and weight loss). Literature indicates that the association between NLR and PCa remains controversial 26‐28 . Huang et al evaluated 662 patients who underwent PB.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Clinical factors for predicting malignancy in patients with PSA < 10 ng/mL and PI‐RADS 3 lesions

Sönmez

Tombul

Demirtaş

et al. 2020

Asia-Pac J Clncl Oncology

View full text Add to dashboard Cite

Aim: To determine clinical risk factors in patients with PI-RADS 3 lesions and prostate-specific antigen (PSA) < 10 ng/mL. Methods: In this prospective study, all patients underwent multiparametric magnetic resonance imaging. Following the 2-5 core fusion-targeted biopsy, standard 12-core prostate biopsy was performed in each patient (combined biopsy). The cutoff values were calculated with receiver-operating characteristic analysis. First, univariate logistic regression analysis was used to evaluate the relationship between total eight parameters and prostate cancer. Subsequently, multiple logistic regression analysis was performed to the parameters associated with prostate cancer. Results: Two hundred and eighty-eight patients were included in the study. Some clinical parameters are determined to be significant in univariate and multiple logistic regression analyses, including PSA, free/total PSA ratio, PSA density (PSA/total prostate volume), positive family history of PCa, and PI-RADS 3 lesion diameter. Patients were classified between 0 and 5 according to the number of risk factors. While the risk of cancer was 7.1% in patients with one or less risk factors, the PCA rate was 45.2% among patients with all risk factors. Conclusion: In patients with PI-RADS 3 lesion and PSA < 10 ng/mL, histopathological results of biopsy can be estimated with higher accuracy using some clinical parameters.

show abstract

Section: Discussionmentioning

confidence: 56%

“…Literature indicates that the association between NLR and PCa remains controversial. [26][27][28] Huang et al evaluated 662…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Clinical factors for predicting malignancy in patients with PSA < 10 ng/mL and PI‐RADS 3 lesions

Sönmez

Tombul

Demirtaş

et al. 2020

Asia-Pac J Clncl Oncology

View full text Add to dashboard Cite

show abstract

“…The authors concluded that inflammation had a role in the development of prostate cancer. Kawahara et al, (2015) in a retrospective study reported that the higher the N/L ratio the higher the incidence of prostate cancer as did Adhyatma et al, (2019), while that of Kamali et al, (2018) did not find an association. Our prospective study did not find an associated with clinically significant prostate cancer, and the predictive value was significantly inferior to that of PSA density, free percent PSA and primary CPCs.…”

Section: Discussionmentioning

confidence: 91%

Predictive Value of Neutrophil to Lymphocyte Ratio in the Diagnosis of Significant Prostate Cancer at Initial Biopsy: A Comparison with Free Percent Prostate Specific Antigen, Prostate Specific Antigen Density and Primary Circulating Prostate Cells

Murray

Fuentealba

Reyes

et al. 2019

Asian Pac J Cancer Prev

View full text Add to dashboard Cite

show abstract

“…ADHYATMA K P et al con rmed NLR has a promising performance in predicting PCa in patients with PSA above 4 ng/dL [16]. However, Kamali K et al found that neutrophil count and neutrophil-to-lymphocyte ratio cannot be predictive factors for positive prostate cancer biopsy [17]. A retrospective analysis study by Oh JJ et al found that NLR may be a potentially useful clinical marker in the detection of prostate cancer among men with a PSA level in the 4-10 ng ml-1 range.…”

Section: Discussionmentioning

confidence: 99%

The Value of Inflammatory Cell Count and Its Ratio in the Diagnosis of Prostate Cancer

Duan¹,

Xu²,

Deng³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Inflammatory cells play an important role in the occurrence and development of cancer. In recent years, the value of inflammatory cell count and its ratio in the diagnosis of prostate cancer has been controversial.Methods: A retrospective analysis of 475 patients with transrectal prostate puncture with TPSA>4 ng/ml in the Third Affiliated Hospital of Xi’an Jiaotong University. Univariate analysis, multivariate analysis and Receiver Operating Characteristics curve analysis were performed to analysis the factor of age, TPSA, FPSA, PV, NC, LC, PC, NLR, PLR in the diagnosis value of prostate cancer, and further analysis the value of inflammatory cell count and its ratio in different TPSA groups of prostate cancer (4 ng/ml <TPSA ≤ 10 ng/ml, 10 ng/ml ＜TPSA ≤ 20 ng/ml, TPSA ＞ 20 ng/ml). Results: The results of Univariate analysis in the overall data showed that Age, TPSA, PV, NC, PLC were influencing factors in the diagnosis of prostate cancer. The Area Under the Curve (AUC) of NC was 56.2% with a sensitivity of 72.2% and specificity of 41.5% in the cut -off point of 4.52 (p = 0.021). The PLC cut-off point of 205.5 gives 55.6% AUC with 67.2% sensitivity and 4.2% specificity. Multivariate binary logistic regression analysis results showed that Age, TPSA, PV, NC were independent influencing factors for the diagnosis of prostate cancer; In different TPSA group studies, it was found that NC, NLR, and PLR were valuable for the diagnosis of prostate cancer when TPSA>20 ng/ml，at the NC cut-off point of 4.52 with 67.3% AUC, 71.2% sensitivity and 62.5% specificity(p＜0.001), at the NLR cut-off point of 3.14 with 65.4% AUC, 67.2% sensitivity and 61.1% specificity (p＜0.001), and at the PLR cut-off point of 135.8 with 62.8% AUC , 57.6% sensitivity and 66.7% specificity (p＜0.001). Multivariate binary logistic regression analysis results showed that when TPSA>20 ng/ml, the higher Age, TPSA , Low PV and NC are independent risk factors affecting the diagnosis of prostate cancer. Conclusion: NC has promising value in predicting prostate cancer, especially when TPSA>20 ng/ml. A further prospective study in validating its diagnostic value was needed.

show abstract

The role of blood neutrophil count and the neutrophil-to-lymphocyte ratio as a predictive factor for prostate biopsy results

Abstract: Neutrophil count and neutrophil-to-lymphocyte ratio cannot be predictive factors for positive prostate cancer biopsy.

Cited by 10 publications

References 19 publications

Clinical factors for predicting malignancy in patients with PSA < 10 ng/mL and PI‐RADS 3 lesions

Clinical factors for predicting malignancy in patients with PSA < 10 ng/mL and PI‐RADS 3 lesions

Predictive Value of Neutrophil to Lymphocyte Ratio in the Diagnosis of Significant Prostate Cancer at Initial Biopsy: A Comparison with Free Percent Prostate Specific Antigen, Prostate Specific Antigen Density and Primary Circulating Prostate Cells

The Value of Inflammatory Cell Count and Its Ratio in the Diagnosis of Prostate Cancer

Contact Info

Product

Resources

About