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Delving into female breast cancer: Distinct disease-specific survival outcomes between invasive lobular and ductal carcinomas revealed by propensity score matching

Author

Listed:
  • Wu Zhang
  • Yuquan Huang
  • Ye Zhou
  • Jiaojiao Xue
  • Shan Gao
  • Lin Kang
  • Jian Shi
  • Tao Zhou
  • Yalong Duan
  • Sihan Guo
  • Qingxia Li

Abstract

Purpose: The difference in prognosis between invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC) is still controversial in the academic community. Resolving this controversy can help to more accurately determine patients’ prognosis, provide further personalized treatment, alleviate unnecessary psychological burden for some patients, and provide direction for further fundamental research. Patients and methods: A retrospective cohort study was conducted using the SEER Research Plus Data 8 Registries, Nov 2021 sub (1978–2019), including female breast cancer patients diagnosed with ILC or IDC between 2010 and 2015. Univariate and multivariate Cox regression analyses were performed, and key covariates affecting prognosis were selected. Propensity score matching (PSM) was employed to match patients, and balance tests were conducted to evaluate covariate distribution. Disease-specific survival (DSS) differences between the matched IDC and ILC groups were compared. Results: Following PSM, the covariate differences between the IDC and ILC groups were significantly reduced. The survival analysis revealed a significantly better prognosis for the IDC group than the ILC group (Log-rank test p

Suggested Citation

  • Wu Zhang & Yuquan Huang & Ye Zhou & Jiaojiao Xue & Shan Gao & Lin Kang & Jian Shi & Tao Zhou & Yalong Duan & Sihan Guo & Qingxia Li, 2024. "Delving into female breast cancer: Distinct disease-specific survival outcomes between invasive lobular and ductal carcinomas revealed by propensity score matching," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-14, December.
    • Handle: RePEc:plo:pone00:0300116
    DOI: 10.1371/journal.pone.0300116
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    References listed on IDEAS

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    1. Peter C. Austin, 2009. "The Relative Ability of Different Propensity Score Methods to Balance Measured Covariates Between Treated and Untreated Subjects in Observational Studies," Medical Decision Making, , vol. 29(6), pages 661-677, November.
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