Deep learning application in prediction of cancer molecular alterations based on pathological images: a bibliographic analysis via CiteSpace DOI Creative Commons

Yu Xiaojian,

Qu Zhanbo,

Jian Chu

и другие.

Journal of Cancer Research and Clinical Oncology, Год журнала: 2024, Номер 150(10)

Опубликована: Окт. 18, 2024

The advancements in artificial intelligence (AI) technology for image recognition were propelling molecular pathology research into a new era. To summarize the hot spots and trends field of recognition. Relevant articles from January 1st, 2010, to August 25th, 2023, retrieved Web Science Core Collection. Subsequently, CiteSpace was employed bibliometric visual analysis, generating diverse network diagrams illustrating keywords, highly cited references, topics, trends. A total 110 relevant extracted pool 10,205 articles. overall publication count exhibited rising trend each year. leading contributors terms institutions, countries, authors Maastricht University (11 articles), United States (38 Kather Jacob Nicholas (9 respectively. Half top ten based on volume, affiliated with Germany. most frequently article authored by Nicolas Coudray et al. accumulating 703 citations. keyword "Deep learning" had highest frequency 2019. Notably, highlighted keywords 2022 2023 included "microsatellite instability", there 21 focusing utilizing algorithms recognize microsatellite instability (MSI) colorectal cancer (CRC) pathological images. use DL is expected provide strategy effectively solve current problem time-consuming expensive detection. Therefore, further needed address issues, such as data quality standardization, model interpretability, resource infrastructure requirements.

Язык: Английский

Prognosis and Treatment of Gastric Cancer: A 2024 Update DOI Open Access
Claudia Burz,

Vlad Pop,

Ciprian Silaghi

и другие.

Cancers, Год журнала: 2024, Номер 16(9), С. 1708 - 1708

Опубликована: Апрель 27, 2024

Due to the high death rate associated with gastric cancer, a great deal of research has been conducted on this disease. The goal paper was start trimestral review 2024 for year that had just started. scientific literature from 1 January chosen consideration guidelines European Society Medical Oncology (ESMO), which are updated new findings but not systematically reviewed annually. We used search term “gastric cancer” find most current publications in PubMed database related prognosis and treatment cancer. As previously said, only articles satisfied inclusion criteria were those 2024. Articles case reports eliminated since they nothing do our research. cancer is focus majority primary axes include surgery immunonutrition, immunotherapy Helicobacter pylori, therapeutic targets. Patients GC may experience less psychological, social, financial hardship if recently identified markers discovered circulation better assessed validated. This could be achieved by either including an artificial intelligence-based diagnostic score or using them conjunction traditional methods. rising GC, funding into diagnosis, prognosis, therapy, targets essential.

Язык: Английский

Процитировано

21

Microfluidic systems for modeling digestive cancer: a review of recent progress DOI

ZahraSadat Razavi,

M. Soltani, Hamidreza Pazoki–Toroudi

и другие.

Biomedical Physics & Engineering Express, Год журнала: 2024, Номер 10(5), С. 052002 - 052002

Опубликована: Авг. 14, 2024

Abstract Purpose . This review aims to highlight current improvements in microfluidic devices designed for digestive cancer simulation. The emphasizes the use of multicellular 3D tissue engineering models understand complicated biology tumor microenvironment (TME) and progression. purpose is develop oncology research improve patients’ lives. Methods analyzes recent on mimicking cancer. It uses tissue-engineered devices, notably organs a chip (OOC), simulate human organ function lab. Cell cultivation modern three-dimensional hydrogel platforms allows precise geometry, biological components, physiological qualities. novel methodologies, key findings, technical progress explain this field’s advances. Results study discusses advances Micro systems with are emphasized. These capture complex biochemical gradients, niche variables, dynamic cell–cell interactions (TME). reveal stomach progression by duplicating TME. Recent discoveries technology have improved our understanding gut biology, as shown review. Conclusion Microfluidic play crucial role modeling furthering research. could transform drug development treatment revealing provides complete summary suggests future field professionals. review’s major goal further medical

Язык: Английский

Процитировано

13

Contemporary management of advanced gastric and gastroesophageal adenocarcinomas DOI
Jane E. Rogers,

Jaffer A. Ajani

Expert Review of Anticancer Therapy, Год журнала: 2025, Номер unknown, С. 1 - 7

Опубликована: Фев. 7, 2025

Gastric and gastroesophageal adenocarcinomas (GEACs) continue to carry a poor prognosis in most patients. New exciting therapies have entered the treatment landscape recent years. Prior these approvals, advances had been limited. Important decision biomarkers for metastatic GEAC are microsatellite instability-high/deficient mismatch repair, human epidermal growth factor receptor-2, programmed-death ligand 1, claudin 18.2 expression among others (such as Epstein Barr Virus (EBV) agnostic biomarkers). Results of drive therapy decisions. Second-line cases is less biomarker driven needs further progress. Studies molecular subsets has led understanding that heterogenous diseases need be treated differently. Other with targeted being studied including fibroblast receptor, trophoblast cell surface antigen-2, receptor. Additionally, epidemiological distinctions starting such EBV GAC.

Язык: Английский

Процитировано

0

Evolving Landscape of HER2-Targeted Therapies for Gastric Cancer Patients DOI

Lijuan He,

Ben Liu,

Zhuanfang Wang

и другие.

Current Treatment Options in Oncology, Год журнала: 2025, Номер unknown

Опубликована: Март 8, 2025

Язык: Английский

Процитировано

0

HER-2 positive gastric cancer: Current targeted treatments DOI
Rama Rao Malla,

Haasita Reddy Nellipudi,

Mundla Srilatha

и другие.

International Journal of Biological Macromolecules, Год журнала: 2024, Номер 274, С. 133247 - 133247

Опубликована: Июнь 19, 2024

Язык: Английский

Процитировано

3

Targeting LINC00665/miR-199b-5p/SERPINE1 axis to inhibit trastuzumab resistance and tumorigenesis of gastric cancer via PI3K/AKt pathway DOI Creative Commons
Bingyu Wang, Wenbo Liu,

Buyun Song

и другие.

Non-coding RNA Research, Год журнала: 2024, Номер 10, С. 153 - 162

Опубликована: Июль 31, 2024

Long noncoding RNAs (lncRNAs) serve as critical mediators of tumor progression and drug resistance in cancer. Herein, we identified a lncRNA, LINC00665, associated with trastuzumab development gastric cancer (GC). LINC00665 was highly expressed GC tissues high expression correlated poor prognosis. knockdown verified to suppress migration, invasion, GC. Furthermore, found that participates the infiltration naive B cells, mast T follicular helper (Tfh) cells. Mechanistically, confirmed regulate tumorigenesis by activating PI3K/AKt pathway. sponged miR-199b-5p interact SERPINE1 expression, resulting increase phosphorylation AKt, thus participating To summarize, facilitated sponging promoting which further activated signaling; this finding reveals new mechanism modulates

Язык: Английский

Процитировано

2

A New Medical Evaluation for Gastric Cancer Patients to Increase the Success Rate of Immunotherapy: A 2024 Update DOI Creative Commons
Gabriel Samaşcă, Claudia Burz,

Irena Pintea

и другие.

Pharmaceuticals, Год журнала: 2024, Номер 17(9), С. 1121 - 1121

Опубликована: Авг. 24, 2024

Researchers have performed numerous studies on immunotherapy because of the high death rate associated with gastric cancer (GC). GC research has made tremendous progress, and we wanted to provide an update this topic. On basis update, suggest performing a new medical evaluation before initiating in patients increase success immunotherapies. We propose that start immunotherapy, they should be evaluated given score one two points for following factors: immunopathological features, molecular genomic potential consequences bacterial pathogens, immunotherapeutic resistance hyperprogressive illness, use biomarkers gauge their prognosis responses optimize surgery. The proposed scoring system could also help diagnosis GC. With all advances genetics, immunology, microbiology, improved, not changed. Currently, diagnosed undergo surgical resection as only permanent solution. Patients who meet maximum from presented proposal eligible immediately after immunotherapy. Therefore, first-line option clinicians.

Язык: Английский

Процитировано

0

Dronedarone hydrochloride inhibits gastric cancer proliferation in vitro and in vivo by targeting SRC DOI Creative Commons
Xuebo Lu, Weizhe Zhang, Xiaoxiao Yang

и другие.

Translational Oncology, Год журнала: 2024, Номер 50, С. 102136 - 102136

Опубликована: Окт. 5, 2024

Язык: Английский

Процитировано

0

Deep learning application in prediction of cancer molecular alterations based on pathological images: a bibliographic analysis via CiteSpace DOI Creative Commons

Yu Xiaojian,

Qu Zhanbo,

Jian Chu

и другие.

Journal of Cancer Research and Clinical Oncology, Год журнала: 2024, Номер 150(10)

Опубликована: Окт. 18, 2024

The advancements in artificial intelligence (AI) technology for image recognition were propelling molecular pathology research into a new era. To summarize the hot spots and trends field of recognition. Relevant articles from January 1st, 2010, to August 25th, 2023, retrieved Web Science Core Collection. Subsequently, CiteSpace was employed bibliometric visual analysis, generating diverse network diagrams illustrating keywords, highly cited references, topics, trends. A total 110 relevant extracted pool 10,205 articles. overall publication count exhibited rising trend each year. leading contributors terms institutions, countries, authors Maastricht University (11 articles), United States (38 Kather Jacob Nicholas (9 respectively. Half top ten based on volume, affiliated with Germany. most frequently article authored by Nicolas Coudray et al. accumulating 703 citations. keyword "Deep learning" had highest frequency 2019. Notably, highlighted keywords 2022 2023 included "microsatellite instability", there 21 focusing utilizing algorithms recognize microsatellite instability (MSI) colorectal cancer (CRC) pathological images. use DL is expected provide strategy effectively solve current problem time-consuming expensive detection. Therefore, further needed address issues, such as data quality standardization, model interpretability, resource infrastructure requirements.

Язык: Английский

Процитировано

0