Predictive value of hemoglobin, platelets, and D-dimer for the survival of patients with stage IA1 to IIA2 cervical cancer: a retrospective study.

J Int Med Res

Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.

Published: December 2021

Objective: Coagulation indexes may be useful survival biomarkers for cervical cancer. This study evaluated the ability of hemoglobin, red blood cells (RBCs), platelets, and D-dimer levels to predict post-hysterectomy survival outcomes in patients with stage IA1 to IIA2 cervical cancer.

Methods: In this retrospective study, coagulation-related indexes were compared between the anemia and non-anemia groups. Independent variables were analyzed by the Cox proportional hazards model. Survival was assessed by the Kaplan-Meier method with the log-rank test. Mortality predictions were evaluated by receiver operating characteristic curves.

Results: Among this study's 1088 enrolled patients, 152 had anemia. The 10-year overall survival and recurrence-free survival rates were 90.8% and 86.5%, respectively. Hemoglobin, RBC, and the rate of abnormal platelet counts were significantly lower in the anemia group. Abnormal preoperative D-dimer was an independent factor for recurrence-free survival. Receiver operating characteristic curves showed that D-dimer had area under the curve of 0.734 (cut-off value: 0.685, sensitivity: 85.7%, and specificity: 64.0%). Hemoglobin and platelets had areas under the curves of 0.487 and 0.462, respectively.

Conclusion: Preoperative D-dimer was the most effective prognostic predictor for patients with cervical cancer. The prognosis of patients with cervical cancer was poorer if their D-dimer levels were >0.685 mg/L.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725234PMC
http://dx.doi.org/10.1177/03000605211061008DOI Listing

Publication Analysis

Top Keywords

cervical cancer
16
hemoglobin platelets
8
platelets d-dimer
8
patients stage
8
stage ia1
8
ia1 iia2
8
iia2 cervical
8
retrospective study
8
d-dimer levels
8
receiver operating
8

Similar Publications

Cisplatin, a platinum-based chemotherapeutic agent, can be used to treat cervical cancer (CC), but cisplatin resistance is increased during the cisplatin treatment. Long non-coding RNA PGM5-AS1 reportedly participates in CC tumorigenesis; however, its role in CC patients with cisplatin resistance has not been revealed. The present aimed to examine the role of PGM5-AS1 in modulating cisplatin resistance in CC.

View Article and Find Full Text PDF

Beneficial Effects of Pomegranate Extracts for Benign Gynecologic Disorders.

Reprod Sci

December 2024

Department of Gynecology and Obstetrics, Division of Reproductive Sciences & Women's Health Re-search, Johns Hopkins Medicine, Baltimore, MD, 21205, USA.

Pomegranate (Punica granatum) is a widely cultivated fruit historically recognized for its health benefits and is regarded as a nutritional powerhouse. Pomegranate has a unique composition of bioactive compounds including hydrolysable tannins, anthocyanins, and other polyphenolic components. Of those, punicalagin and its subsequent metabolites are the most extensively studied, demonstrating antioxidant, anti-inflammatory, anti-cancer, and anti-nociceptive activity.

View Article and Find Full Text PDF

This study aims to assess the predictive value of certain markers of inflammation in patients with locally advanced or recurrent/metastatic cervical cancer who are undergoing treatment with anti-programmed death 1 (PD-1) therapy. A total of 105 patients with cervical cancer, who received treatment involving immunocheckpoint inhibitors (ICIs), were included in this retrospective study. We collected information on various peripheral blood indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), and prognostic nutritional index (PNI).

View Article and Find Full Text PDF

BMT: A Cross-Validated ThinPrep Pap Cervical Cytology Dataset for Machine Learning Model Training and Validation.

Sci Data

December 2024

Department of Pathology and Laboratory Medicine, Alpert Medical School, Brown University, Providence, RI, 02912, USA.

In the past several years, a few cervical Pap smear datasets have been published for use in clinical training. However, most publicly available datasets consist of pre-segmented single cell images, contain on-image annotations that must be manually edited out, or are prepared using the conventional Pap smear method. Multicellular liquid Pap image datasets are a more accurate reflection of current cervical screening techniques.

View Article and Find Full Text PDF

Background: A precise observation is that the cervix's solid tumors possess hypoxic regions where the oxygen concentration drops below 1.5%. Hypoxia negatively impacts the host's immune system and significantly diminishes the effectiveness of several treatments, including radiotherapy and chemotherapy.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!