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A predictive model for pathological complete response (pCR) in breast cancer patients receiving neoadjuvant immunotherapy has been developed and validated, achieving an AUC of 0.818 in the validation set. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

February 19, 2026Clinical Cancer Research

Abstract PS4-04-05: Construction and validation of a clinical model predicting pathological complete response after neoadjuvant immunotherapy in breast cancer

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MLM. LinSun Yat-sen University TDTian DuSun Yat-sen University JTJ. TangSun Yat-sen University

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Implication

Retrospective analysis develops a predictive model for pathological complete response in breast cancer, suggesting improved treatment strategies.

Key Points

The aim is to develop and validate a predictive model for pathological complete response in breast cancer patients undergoing neoadjuvant immunotherapy.
Retrospective analysis of breast cancer patients treated with neoadjuvant immunotherapy.
Variables including clinical stage, Ki67 expression, and lab results were analyzed for their association with pCR.
Univariate and multivariate logistic regression identified significant predictors, with model performance evaluated using ROC curves and calibration plots.
Cohort divided into training and validation sets to assess model performance.
233 patients included, with 52.8% achieving pCR.
Final model included pretreatment clinical T stage, Ki67 expression, NLR, chemotherapy regimens, and immunotherapy cycles.
Model showed good discrimination with AUCs of 0.782 for training and 0.818 for validation.
Calibration plots indicated good agreement between predicted and observed pCR probabilities.
Decision curve analysis indicated a net clinical benefit compared to 'treat all' and 'treat none' strategies.

Cite This Study

Lin et al. (2026) studied this question.

synapsesocial.com/papers/6996a8efecb39a600b3f031f https://doi.org/10.1158/1557-3265.sabcs25-ps4-04-05

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Implication

Retrospective analysis develops a predictive model for pathological complete response in breast cancer, suggesting improved treatment strategies.

Abstract PS4-04-05: Construction and validation of a clinical model predicting pathological complete response after neoadjuvant immunotherapy in breast cancer

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Cite This Study

Abstract PS4-04-05: Construction and validation of a clinical model predicting pathological complete response after neoadjuvant immunotherapy in breast cancer

Discussion

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Implication

Key Points

Cite This Study

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