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This is a "connection" page, showing publications co-authored by JENNIFER LITTON and ROSALIND PITPITAN CANDELARIA.
JENNIFER LITTON
Connection Strength
1.633
ROSALIND PITPITAN CANDELARIA
  1. A phase II study of neoadjuvant atezolizumab and nab-paclitaxel in patients with anthracycline-resistant early-stage triple-negative breast cancer. Breast Cancer Res Treat. 2023 Jun; 199(3):457-469.
    View in: PubMed
    Score: 0.224
  2. BI-RADS Ultrasound Lexicon Descriptors and Stromal Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer. Acad Radiol. 2022 01; 29 Suppl 1:S35-S41.
    View in: PubMed
    Score: 0.198
  3. Targeting the Epidermal Growth Factor Receptor Pathway in Chemotherapy-Resistant Triple-Negative Breast Cancer: A Phase II Study. Cancer Res Commun. 2024 Oct 01; 4(10):2823-2834.
    View in: PubMed
    Score: 0.062
  4. Multiparametric MRI-based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer. Sci Rep. 2024 07 12; 14(1):16073.
    View in: PubMed
    Score: 0.061
  5. Phase 2 study of neoadjuvant enzalutamide and paclitaxel for luminal androgen receptor-enriched TNBC: Trial results and insights into "ARness". Cell Rep Med. 2024 Jun 18; 5(6):101595.
    View in: PubMed
    Score: 0.061
  6. Diffusion Tensor Imaging for Characterizing Changes in Triple-Negative Breast Cancer During Neoadjuvant Systemic Therapy. J Magn Reson Imaging. 2024 Oct; 60(4):1367-1376.
    View in: PubMed
    Score: 0.059
  7. Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer. Front Oncol. 2023; 13:1264259.
    View in: PubMed
    Score: 0.058
  8. Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer. Cancers (Basel). 2023 Oct 02; 15(19).
    View in: PubMed
    Score: 0.058
  9. PTEN in triple-negative breast carcinoma: protein expression and genomic alteration in pretreatment and posttreatment specimens. Ther Adv Med Oncol. 2023; 15:17588359231189422.
    View in: PubMed
    Score: 0.057
  10. Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs. Annu Int Conf IEEE Eng Med Biol Soc. 2023 07; 2023:1-4.
    View in: PubMed
    Score: 0.057
  11. A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer. Radiol Imaging Cancer. 2023 07; 5(4):e230009.
    View in: PubMed
    Score: 0.057
  12. Predictive Roles of Baseline Stromal Tumor-Infiltrating Lymphocytes and Ki-67 in Pathologic Complete Response in an Early-Stage Triple-Negative Breast Cancer Prospective Trial. Cancers (Basel). 2023 Jun 21; 15(13).
    View in: PubMed
    Score: 0.057
  13. Targeting chemotherapy resistance in mesenchymal triple-negative breast cancer: a phase II trial of neoadjuvant angiogenic and mTOR inhibition with chemotherapy. Invest New Drugs. 2023 Jun; 41(3):391-401.
    View in: PubMed
    Score: 0.056
  14. Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI. Cancers (Basel). 2023 Feb 06; 15(4).
    View in: PubMed
    Score: 0.055
  15. Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI. Sci Rep. 2023 01 20; 13(1):1171.
    View in: PubMed
    Score: 0.055
  16. MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Cancer Res. 2022 Sep 16; 82(18):3394-3404.
    View in: PubMed
    Score: 0.054
  17. Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Front Artif Intell. 2022; 5:876100.
    View in: PubMed
    Score: 0.053
  18. Molecular Characterization and Prospective Evaluation of Pathologic Response and Outcomes with Neoadjuvant Therapy in Metaplastic Triple-Negative Breast Cancer. Clin Cancer Res. 2022 07 01; 28(13):2878-2889.
    View in: PubMed
    Score: 0.053
  19. Quantitative Apparent Diffusion Coefficients From Peritumoral Regions as Early Predictors of Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer. J Magn Reson Imaging. 2022 12; 56(6):1901-1909.
    View in: PubMed
    Score: 0.052
  20. Prognostic Impact of High Baseline Stromal Tumor-Infiltrating Lymphocytes in the Absence of Pathologic Complete Response in Early-Stage Triple-Negative Breast Cancer. Cancers (Basel). 2022 Mar 04; 14(5).
    View in: PubMed
    Score: 0.052
  21. A model combining pretreatment MRI radiomic features and tumor-infiltrating lymphocytes to predict response to neoadjuvant systemic therapy in triple-negative breast cancer. Eur J Radiol. 2022 Apr; 149:110220.
    View in: PubMed
    Score: 0.052
  22. Early ultrasound evaluation identifies excellent responders to neoadjuvant systemic therapy among patients with triple-negative breast cancer. Cancer. 2021 08 15; 127(16):2880-2887.
    View in: PubMed
    Score: 0.049
  23. Functional Tumor Volume by Fast Dynamic Contrast-Enhanced MRI for Predicting Neoadjuvant Systemic Therapy Response in Triple-Negative Breast Cancer. J Magn Reson Imaging. 2021 07; 54(1):251-260.
    View in: PubMed
    Score: 0.048
  24. Tumor necrosis by pretreatment breast MRI: association with neoadjuvant systemic therapy (NAST) response in triple-negative breast cancer (TNBC). Breast Cancer Res Treat. 2021 Jan; 185(1):1-12.
    View in: PubMed
    Score: 0.047
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