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Trastuzumab

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[Stage Ⅳ Breast Cancer with Difficulty in Initiating Chemotherapy-A Case Report].

Gan to kagaku ryoho. Cancer & chemotherapy
We report a case of breast cancer(T4b[skin], N1, M1[lung], ER-, PR-, HER2 3+)in a 63-year-old woman with liver dysfunction of unknown cause(T-Bil 3.6mg/dL, ALP 3,483 U/L, AST 214 U/L, ALT 320 U/L, g / -GTP 1,943 U/L). Further- more, serum CA19-9(4,67...

[A Case of Granulocyte-Colony Stimulating Factor-Producing Gastric Cancer Successfully Treated with Trastuzumab].

Gan to kagaku ryoho. Cancer & chemotherapy
A 68-year-old man diagnosed with type 0-Ⅰgastric cancer by gastrointestinal endoscopy underwent urgent distal gastrectomy due to a perforation during endoscopic submucosal resection. Pathological examination revealed pT3N2M0, pStage ⅢA. TS-1 was admi...

[Hepatic Resection of Multiple Liver Metastases from Gastric Cancer after Molecular Targeted Chemotherapy(S-1 plus Cisplatin plus Trastuzumab)].

Gan to kagaku ryoho. Cancer & chemotherapy
A 62-year-old man was diagnosed with gastric cancer and underwent distal gastrectomy, and D1+b lymph node dissection. He was diagnosed postoperatively with T1b (sm2) N0M0, StageⅠA gastric adenocarcinoma and did not receive any adjuvant chemotherapy a...

Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer.

Scientific reports
Tissue biomarker scoring by pathologists is central to defining the appropriate therapy for patients with cancer. Yet, inter-pathologist variability in the interpretation of ambiguous cases can affect diagnostic accuracy. Modern artificial intelligen...

Prediction of postoperative disease-free survival and brain metastasis for HER2-positive breast cancer patients treated with neoadjuvant chemotherapy plus trastuzumab using a machine learning algorithm.

Breast cancer research and treatment
PURPOSE: This study aimed to develop mathematical tools to predict the likelihood of recurrence after neoadjuvant chemotherapy (NAC) plus trastuzumab in patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer.

Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning.

Nature biomedical engineering
The optimization of therapeutic antibodies is time-intensive and resource-demanding, largely because of the low-throughput screening of full-length antibodies (approximately 1 × 10 variants) expressed in mammalian cells, which typically results in fe...