The survival rate analysis of 130 patients with non-small-cell lung cancer who did not receive any specific anticancer therapy showed no statistically significant differences in the survival rates between various TNM combinations classified into stage groups II, IIIa, IIIb, and IV, as proposed by Mountain in 1989 and adopted by the American Joint Committee on Cancer. Following these findings, based on survival probabilities, two distinctive staging groups could be distinguished. The first stage group was composed of only the T1, 2N0, M0 combination, and the second of all other TNM combinations. In a purely biologic sense of tumor growth, the lymph node involvement appeared to be the crucial factor determining the length of survival.
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http://dx.doi.org/10.1378/chest.106.6.1797 | DOI Listing |
Front Med
January 2025
Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China.
SMARCA4-deficient non small cell lung cancer (SMARCA4-dNSCLC) has recently garnered increasing attention due to its high malignancy and poor prognosis. The literature suggests that in non small cell lung cancer (NSCLC), the loss of SMARCA4 frequently co-occurs with mutations in KRAS, KEAP1, and STK11 rather than in EGFR, ALK, and ROS1. Herein, we present the first documented case of SMARCA4-dNSCLC accompanied with rare mutations of EGFR exon 20 S768I and exon 18 G719X.
View Article and Find Full Text PDFHum Cell
January 2025
Institute of Translational Medicine, Medical College, Yangzhou University, No. 136 Jiangyangzhonglu, Yangzhou, 225009, Jiangsu, China.
Cancer, a complicated disease characterized by aberrant cellular metabolism, has emerged as a formidable global health challenge. Since the discovery of abnormal aldolase A (ALDOA) expression in liver cancer for the first time, its overexpression has been identified in numerous cancers, including colorectal cancer (CRC), breast cancer (BC), cervical adenocarcinoma (CAC), non-small cell lung cancer (NSCLC), gastric cancer (GC), hepatocellular carcinoma (HCC), pancreatic cancer adenocarcinoma (PDAC), and clear cell renal cell carcinoma (ccRCC). Moreover, ALDOA overexpression promotes cancer cell proliferation, invasion, migration, and drug resistance, and is closely related to poor prognosis of patients with cancer.
View Article and Find Full Text PDFRadiology
January 2025
From the Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China (Q.S., P.L., J.Z.); and Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 (Q.S., P.L., R.Y., D.F.Y., C.I.H.).
Background Angiolymphatic invasion (ALI) is an important prognostic indicator in non-small cell lung cancer (NSCLC). However, few studies focus on radiologic features for predicting ALI in patients with early-stage NSCLCs 30 mm or smaller. Purpose To identify radiologic features for predicting ALI in NSCLCs 30 mm or smaller in maximum diameter.
View Article and Find Full Text PDFCancer Res Commun
January 2025
University of Southern California, Los Angeles, California, United States.
Race and ethnicity affect the distribution of molecular alterations seen in patients with non-small cell lung cancer (NSCLC). While anaplastic lymphoma kinase (ALK) alterations are known to occur in 4-5% of the population, data specific to the Hispanic population remains limited. This study describes the real-world incidence of ALK alterations in Hispanic patients with NSCLC treated at a large academic institution in Los Angeles, California, USA to further elucidate the underlying factors that shape differences in mutational profiles.
View Article and Find Full Text PDFiScience
January 2025
Department of Radiology, Qilu Hospital of Shandong University, Jinan 250012, China.
To predict local progression after microwave ablation (MWA) in patients with stage I non-small cell lung cancer (NSCLC), we developed a CT-based radiomics model. Postoperative CT images were used. The intraclass correlation coefficients, two-sample t-test, least absolute shrinkage and selection operator (LASSO) regression, and Pearson correlation analysis were applied to select radiomics features and establish radiomics score.
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