Evidence map›Paper›PMID 41193825›Full record

ArticleAnnals of surgical oncology2026

Differential Diagnosis of Solitary Pulmonary Nodules in Postoperative Pancreatic Cancer Patients Using KRAS Gene Mutation Analysis.

Ryu Kanzaki, Hisaya Chikaraishi, Hironobu Samejima, Masao Kobayashi, Julian Horiguchi, Tomohiro Maniwa, Yoshiyuki Susaki, Hirofumi Akita, Kunihito Gotoh, Keiichiro Honma and 2 more

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Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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12 authors.

Ryu KanzakiDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan. rkanzaki@tj8.so-net.ne.jp.
Hisaya ChikaraishiDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Hironobu SamejimaDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Masao KobayashiDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Julian HoriguchiDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Tomohiro ManiwaDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Yoshiyuki SusakiDepartment of Thoracic Surgery, Ikeda City Hospital, Ikeda, Japan.
Hirofumi AkitaDepartment of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
Kunihito GotohDepartment of Surgery, Osaka International Cancer Institute, Osaka, Japan.
Keiichiro HonmaDepartment of Diagnostic Pathology and Cytology, Osaka International Cancer Institute, Osaka, Japan.
Yoji KukitaLaboratory of Genomic Pathology, Osaka International Cancer Institute, Osaka, Japan.
Jiro OkamiDepartment of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSolitary pulmonary nodules in postoperative pancreatic cancer patients pose a diagnostic challenge in distinguishing primary lung cancer (PLC) from pulmonary metastasis (PM). KRAS mutation analysis is a potential tool for distinguishing these entities.

methodsA retrospective study of 17 patients who underwent pulmonary resection after pancreatic cancer surgery was conducted. Paired pancreatic and pulmonary tumor samples were analyzed for KRAS mutations. PDX1 expression was assessed by immunohistochemistry. Preoperative clinical factors were evaluated using KRAS mutation-based classification as the reference.

resultsKRAS mutations were discordant between pancreatic and pulmonary tumors in nine patients (53%), leading to a diagnosis of PLC. KRAS G12R concordance was observed in three cases, confirming PM. Five cases with KRAS G12D or G12V concordance could not be definitively classified. KRAS mutation analysis identified more PLC cases than pathological diagnosis. PDX1 expression was found in both PM and some PLC cases, as well as in lung invasive mucinous adenocarcinoma cases without pancreatic cancer history, limiting its diagnostic value. Lymphovascular invasion in the pancreatic tumor was significantly associated with PM.

conclusionsKRAS mutation analysis of both pancreatic tumor and lung tumor is useful for distinguishing solitary pulmonary nodules in postoperative pancreatic cancer patients. KRAS mutation analysis identified PLC more frequently than conventional pathological diagnosis.

Indexed as

Adenocarcinoma, MucinousBiomarkers, TumorLung NeoplasmsMutationPancreatic NeoplasmsProto-Oncogene Proteins p21(ras)Solitary Pulmonary NoduleAgedDiagnosis, DifferentialDNA Mutational AnalysisFemaleFollow-Up StudiesHomeodomain ProteinsHumansMaleMiddle AgedBiomarkers, TumorHomeodomain ProteinsKRAS protein, humanpancreatic and duodenal homeobox 1 proteinProto-Oncogene Proteins p21(ras)Trans-Activators

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.