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

Zhang, Weiwei; Ye, Bin; Liang, Wenjie; Ren, Yazhou

doi:10.1038/s41598-017-10328-8

Cited by 64 publications

(82 citation statements)

References 36 publications

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“…PNI has been introduced as a simple and easily measurable biomarker representing the nutritional and immunological status of cancer patients. Since the first report by Onodera et al ., many research groups have investigated the prognostic role of PNI in various types of cancers . The PNI is calculated using the following formula: 10 × serum albumin value (g/dL) + 0.005 × peripheral blood lymphocyte count.…”

Section: Combination Markers Of Serum Proteins and Differential Bloodmentioning

confidence: 99%

“…Since the first report by Onodera et al, many research groups have investigated the prognostic role of PNI in various types of cancers. 23,[155][156][157] The PNI is calculated using the following formula: 10 9 serum albumin value (g/dL) + 0.005 9 peripheral blood lymphocyte count. Therefore, elevated PNI is associated with a good prognosis in cancer patients.…”

Section: Pni In Urological Cancersmentioning

confidence: 99%

“…[14][15][16][17] Furthermore, combinations of these indices, such as the GPS, which consists of the serum CRP and albumin level; the NLR; the PLR; and the PNI, which is based on peripheral blood lymphocyte count and serum albumin level, have also been evaluated and compared in cancer research, including urological cancers. [18][19][20][21][22][23] Most studies have evaluated the prognostic and predictive role of pretreatment SIR markers, although some have focused on the role of post-treatment SIR markers at specific points during the clinical course.…”

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confidence: 99%

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Role of systemic inflammatory response markers in urological malignancy

Ohno

2018

Int J of Urology

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The systemic inflammatory response is associated with survival in patients with a variety of cancers. This inflammatory response is measured in the peripheral blood, and can be monitored using two categories of indices: concentration of specific serum proteins (albumin, C‐reactive protein) and differential blood cell count (neutrophils, lymphocytes and platelets). Furthermore, combinations of these indices, such as the Glasgow Prognostic Score, which consists of the serum C‐reactive protein and albumin level; the neutrophil‐to‐lymphocyte ratio; the platelet‐to‐lymphocyte ratio; and the prognostic nutritional index, which is based on peripheral blood lymphocyte count and serum albumin level, have also been evaluated and compared in cancer research. To date, there are hundreds of studies that have shown the prognostic value of systemic inflammatory response markers in patients with urological cancer. Most studies have evaluated the prognostic and predictive role of the pretreatment value of the markers, although some have focused on the role of the post‐treatment value at specific points during the clinical course. The advantages of systemic inflammatory response markers are that they are easily measurable and inexpensive in the clinical setting. However, it is important to consider how clinicians use these markers in clinical practice. The present review provides a concise overview regarding systemic inflammatory markers in urological cancers, specifically C‐reactive protein, Glasgow Prognostic Score/modified Glasgow Prognostic Score, neutrophil‐to‐lymphocyte ratio, platelet‐to‐lymphocyte ratio and prognostic nutritional index.

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Section: Combination Markers Of Serum Proteins and Differential Bloodmentioning

confidence: 99%

Section: Pni In Urological Cancersmentioning

confidence: 99%

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confidence: 99%

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Role of systemic inflammatory response markers in urological malignancy

Ohno

2018

Int J of Urology

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“…The correlation of the indicators reflecting nutritional status with survival in patients with various types of cancer has received much attention in recent years [14][15][16] . Cancer-related malnutrition is frequently caused by activation of systemic inflammation due to cancer progression, resulting in impaired immunity and reduced survival 8,11,17 .…”

Section: Discussionmentioning

confidence: 99%

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

Yoshikawa

Yoshida

Tamauchi

et al. 2020

Sci Rep

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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 longterm 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 (/mm 3 ). 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.Ovarian clear cell carcinoma (OCCC) is one of the common histologic subtypes of epithelial ovarian cancer (EOC), accounting for approximately 20% of all EOC in Asian countries but only for 6% of all EOC in Western countries 1-3 . As with the other histologic types of EOC, OCCC frequently presents with various symptoms, including abdominal pain or swelling. In particular, OCCC had been generally associated with ovarian endometriosis, which is characterized by severe dysmenorrhea and chronic pelvic inflammation 4 . Although the majority of OCCC cases are diagnosed in the early-stage and patients with stage IA OCCC have a favorable prognosis, stage IC OCCC with positive peritoneal cytology can lead to poor prognosis due to its high recurrence rate and resistance to conventional platinum-based chemotherapy 5 . Therefore, identification of the clinical indicators that predict long-term outcomes is needed to improve the management of patients with early-stage OCCC.Malnutrition has been reported to make patients more susceptible to infection, increase the risk of postoperative complications, and promote tumor recurrence through suppression of tumor immunity 6-8 . The prognostic nutritional index (PNI), which is calculated using serum albumin level and lymphocyte count as indicators of nutritional status, has been reported to be correlated with survival and perioperative complications in various types of cancer [8][9][10][11] . Even in gynecologic malignancies, low PNI was recently reported to be associated with poor prognosis in HGSOC and cervical cancer 12,13 . Although several reports have shown a correlation between malnutrition and poor prognosis in advanced...

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“…At the time of diagnosis, a majority of the women with ovarian cancer were in the advanced stages, and 70% would be deceased within 5 years [3]. Therefore, identifying the novel targets for ovarian cancer treatment is an urgent requirement.…”

Section: Introductionmentioning

confidence: 99%

MicroRNA-214 Suppresses Ovarian Cancer by Targeting β-Catenin

Liu

Jin

Zhai

et al. 2018

Cell Physiol Biochem

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Background/Aims: Ovarian cancer is one of the most common malignancies with a high rate of mortality in women. However, current therapies for ovarian cancer treatment are ineffective. Therefore, novel target identification is an urgent requisite. The present study aimed to investigate the role of microRNA-214 (miR-214) in ovarian cancer. Methods: The expression of miR-214, β-catenin, cyclin D1, c-myc, and TCF-1 at the transcriptional level was measured by real-time PCR, while that of β-catenin, Cyclin D1, and c-Myc at the protein level were detected by western blot. Colony formation assay and transwell assay were used to explore the invasion ability of the cancer cells. Cell cycle was measured by flow cytometry. Results: Real-time PCR showed that miR-214 expression in ovarian cancer cell lines was lower than that in the human normal ovarian epithelial cells, IOSE80. Furthermore, the low expression of miR-214 was correlated with high pathological grade. The rate of colony formation and invasion of miR-214 overexpression in SKOV-3 cells were weaker than that in control cells. Moreover, miR-214 overexpression led to the G0/G1 phase arrest. The expression of β-catenin, Cyclin D1, and c-Myc was suppressed by the overexpression of miR-214. Conclusion: These results suggested that miR-214 may serve as a tumor suppressor of ovarian cancer by targeting the β-catenin pathway.

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

Cited by 64 publications

References 36 publications

Role of systemic inflammatory response markers in urological malignancy

Role of systemic inflammatory response markers in urological malignancy

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

MicroRNA-214 Suppresses Ovarian Cancer by Targeting β-Catenin

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