Trends in Pregnancy-Associated Cervical Cancer in Japan between 2012 and 2017: A Multicenter Survey.
Sayako EnomotoKosuke YoshiharaAsumi OkumuraAkiko IwataMamoru TanakaTsutomu TabataYoshiki KudoEiji KondohMasaki MandaiTakashi SugiyamaAikou OkamotoTsuyoshi SaitoTakayuki EnomotoTomoaki IkedaPublished in: Cancers (2022)
Large-scale data on maternal and neonatal outcomes of pregnancy-associated cervical cancer in Japan are scarce, and treatment strategies have not been established. This multicenter retrospective observational study investigated clinical features and trends in pregnancy-associated cervical cancer treatments at 523 hospitals in Japan. We included cervical cancer cases that were histologically diagnosed (between 1 January 2012, and 31 December 2017), and their clinical information was retrospectively collected. Of 40 patients diagnosed with pregnancy-associated cervical cancer at ≥22 gestational weeks, 34 (85.0%) were carefully followed until delivery without intervention. Of 163 diagnosed at <22 gestational weeks, 111 continued and 52 terminated their pregnancy. Ninety patients with stage IB1 disease had various treatment options, including termination of pregnancy. The 59 stage IB1 patients who continued their pregnancy were categorized by the primary treatment into strict follow-up, conization, trachelectomy, and neoadjuvant chemotherapy groups, with no significant differences in progression-free or overall survival. The birth weight percentile at delivery was smaller in the neoadjuvant chemotherapy group than in the strict follow-up group ( p = 0.029). Full-term delivery rate was relatively higher in the trachelectomy group (35%) than in the other groups. Treatment decisions for pregnancy-associated cervical cancer are needed after estimating the stage, considering both maternal and fetal benefits.
Keyphrases
- pregnancy outcomes
- neoadjuvant chemotherapy
- preterm birth
- birth weight
- gestational age
- weight gain
- pregnant women
- lymph node
- cross sectional
- end stage renal disease
- chronic kidney disease
- squamous cell carcinoma
- machine learning
- metabolic syndrome
- type diabetes
- mass spectrometry
- insulin resistance
- social media
- high resolution
- deep learning
- electronic health record
- double blind
- big data
- atomic force microscopy
- high speed