A way to avoid axillary dissection, with more neoadjuvant therapy treatments, this may help avoid unnecessary axillary dissection. Probably needs more validation with larger studies but is a good start. Also, the first related to radiological findings, so welcome input from our FCS Radiologists.
The diagnostic effectiveness of traditional imaging techniques is insufficient to assess the response of lymph nodes (LNs) to neoadjuvant chemotherapy (NAC), especially for pathological complete response (pCR). A radiomics model based on computed tomography (CT) could be helpful.
Prospective consecutive breast cancer patients with positive axillary LNs initially were enrolled, who received NAC prior to surgery. Chest contrast-enhanced thin-slice CT scan was performed both before and after the NAC (recorded as the first and the second CT respectively), and on both of them, the target metastatic axillary LN was identified and demarcated layer by layer. Using pyradiomics-based software that was independently created, radiomics features were retrieved. A pairwise machine learning workflow based on Sklearn (https://scikit-learn.org/) and FeAture Explorer was created to increase diagnostic effectiveness. An effective pairwise auto encoder model was developed by the improvement of data normalization, dimensionality reduction, and features screening scheme as well as the comparison of the prediction effectiveness of the various classifiers,
A total of 138 patients were enrolled, and 77 (58.7%) in the overall group achieved pCR of LN after NAC. Nine radiomics features were finally chosen for modeling. The AUCs of the training group, validation group, and test group were 0.944 (0.919-0.965), 0.962 (0.937-0.985), and 1.000 (1.000-1.000), respectively, and the corresponding accuracies were 0.891, 0.912, and 1.000.
The pCR of axillary LNs in breast cancer following NAC can be precisely predicted using thin-sliced enhanced chest CT-based radiomics.
MammaPrint did not predict distant recurrence, but it did predict patients who may benefit from extended hormonal therapy. We do have breast index, so now we have options. Breast index can predict the possibility of recurrence though by helping to determine the level of risk.
This study confirms what we saw in initial reports showing the addition of pembro increasing the rate of ypathological complete response (ypCR’s) in the neoadjuvant setting for triple-negative breast cancer (TNBC). New data shows a 5% improvement (87 vs 82%) in overall survival (OS) with the quadruplet. Higher gains but at higher cost of toxicity. The fact that adjuvant intraosseous (IO) does not seem to improve outcomes, but neoadjuvant chemo+IO does show intact tumor-immune interactions to create maximum treatment effectiveness is most likely real. Of note, this seems mostly independent of programmed death-ligand 1 (PDL1) status.
Adding Inavolisib to CKD4/6 inhibitor and AI improved progression-free survival (almost doubled 15 vs 7m) but toxicity was higher still in the single digits (hyperglycemia, diarrhea, stomatitis… all less than 6% G3/4).
Well done study showing a 20% decrease in recurrence risk when using dose dense therapy [EC]/D compared to conventional dose [FEC]/D. Sometimes it is worth it to push.
Myth busted. In aggressive breast cancer, no need to start chemotherapy now, ET and CKD4/6 inhibitors are better tolerated with significant progression-free survival (PFS) benefit and same response rate.
FCS Hematology Oncology Review creates a platform for our physician network to observe the most recent articles and studies available in the oncology and hematology world. By sharing these articles we are building our wealth of knowledge of new observations and treatments as they come available.
