Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 2 min ago
Peer-reviewedCC BY-NC-NDCancer medicine

Association of High-Grade Components < 20% on DFS in Stage I Lung Adenocarcinoma: A Real-World Study of Risk Analysis and Predictive Nomogram Development.

  1. 1Department of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.

Abstract

Objective

To assess whether high-grade components occupying < 20% of the tumor have prognostic value and whether an Adjusted Grade nomogram improves risk stratification in Stage I invasive lung adenocarcinoma (LUAD).Methods

We retrospectively analyzed 1539 patients with pathologically confirmed Stage I invasive LUAD undergoing R0 resection; 1321 with follow-up, including 967 with preoperative CT. Tumors were classified by IASLC Grade and reclassified according to predominant pattern and high-grade components; Adjusted Grade 3 was subdivided into MHGC ≤ 5%, DHGC > 5% to < 20%, and SHGC ≥ 20%. Cox models identified DFS predictors. Nomograms were internally validated with 1000 bootstrap resamples and assessed for discrimination, calibration, and net benefit.Results

During a median 38-month follow-up, 124 DFS events occurred. Adjusted Grade 3 independently predicted recurrence (HR 3.07, 95% CI 1.54-6.12), while MHGC and DHGC were associated with poorer DFS (HR 3.95, 95% CI 1.53-10.15; HR 2.55, 95% CI 1.12-5.80). In the CT subgroup, consolidation-to-tumor ratio (CTR) independently predicted DFS (HR 3.08, 95% CI 1.46-6.51). Optimism-corrected C-index was 0.740 for the Adjusted Grade-based nomogram, compared with 0.727 for the IASLC-based nomogram and 0.612 for TNM staging. After adding CTR, they were 0.763 and 0.745 for the Adjusted Grade- and IASLC-based nomogram. Decision-curve analysis showed similar net benefit profiles for the two nomograms.Conclusion

High-grade components below 20% were associated with poorer DFS. The Adjusted Grade-based nomogram improved internal discrimination versus IASLC Grade and TNM staging but showed no clear clinical-benefit advantage over IASLC Grade. External validation is needed to establish optimal thresholds and clinical utility.

Related

  1. Prognostic impact of neoadjuvant therapy and nomogram development in early-stage and locally advanced Siewert type II adenocarcinoma of the esophagogastric junction based on the SEER database
    Pubo Shi, Pengjie Yang, Xingfu Ban +2
    Journal of thoracic diseasePeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  2. Development and validation of a nomogram-based predictive model for infectious diseases of the spine utilizing peripheral blood laboratory parameters
    Xuejiu Cai, Zhujun Ye, Xinhui Ouyang +9
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textSurgery & anaesthesiaCrossref
  3. Development of a predictive model and nomogram using CTPA parameters for the identification of group 1 pulmonary arterial hypertension
    Huaxin Yuan, Iokfai Cheang, Gengmin Liang +9
    iSciencePeer-reviewedCC BY 4.0Full textGeneral medicineCell PressCrossrefEurope PMC
  4. Development and internal validation of a clinical-MRI nomogram for predicting lymph node metastasis in rectal adenocarcinoma.
    Yafei Li, Fuquan He, Lei Zhu
    Journal of gastrointestinal oncologyPeer-reviewedCC BY-NC-NDFull textOncologyEurope PMC
  5. Construction and validation of a predictive nomogram for vascular crisis risk following free flap surgery
    Yan-liang Qu, Juan Xue, Xing-yu Du +4
    Frontiers in medicinePeer-reviewedCC BYFull textSurgery & anaesthesiaEurope PMCPMC
BibTeX
@article{liang2026association,
  title = {{Association of High-Grade Components < 20% on DFS in Stage I Lung Adenocarcinoma: A Real-World Study of Risk Analysis and Predictive Nomogram Development.}},
  author = {Shuhao Liang and Xuanpeng Wu and Tao Jiang and Ming Ni and Fei Xue and Chenxi Li and Tianhao Chen and Leyu Hong and Chao Luo and Qifei Wu},
  journal = {Cancer medicine},
  year = {2026},
  month = nov,
  doi = {10.1002/cam4.72439},
  url = {https://europepmc.org/article/MED/42968602},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Association of High-Grade Components < 20% on DFS in Stage I Lung Adenocarcinoma: A Real-World Study of Risk Analysis and Predictive Nomogram Development.
AU  - Shuhao Liang
AU  - Xuanpeng Wu
AU  - Tao Jiang
AU  - Ming Ni
AU  - Fei Xue
AU  - Chenxi Li
AU  - Tianhao Chen
AU  - Leyu Hong
AU  - Chao Luo
AU  - Qifei Wu
PY  - 2026
DA  - 2026/11/01
JO  - Cancer medicine
DO  - 10.1002/cam4.72439
UR  - https://europepmc.org/article/MED/42968602
AB  - Objective  To assess whether high-grade components occupying < 20% of the tumor have prognostic value and whether an Adjusted Grade nomogram improves risk stratification in Stage I invasive lung adenocarcinoma (LUAD).Methods  We retrospectively analyzed 1539 patients with pathologically confirmed Stage I invasive LUAD undergoing R0 resection; 1321 with follow-up, including 967 with preoperative CT. Tumors were classified by IASLC Grade and reclassified according to predominant pattern and high-grade components; Adjusted Grade 3 was subdivided into MHGC ≤ 5%, DHGC > 5% to < 20%, and SHGC ≥ 20%. Cox models identified DFS predictors. Nomograms were internally validated with 1000 bootstrap resamples and assessed for discrimination, calibration, and net benefit.Results  During a median 38-month follow-up, 124 DFS events occurred. Adjusted Grade 3 independently predicted recurrence (HR 3.07, 95% CI 1.54-6.12), while MHGC and DHGC were associated with poorer DFS (HR 3.95, 95% CI 1.53-10.15; HR 2.55, 95% CI 1.12-5.80). In the CT subgroup, consolidation-to-tumor ratio (CTR) independently predicted DFS (HR 3.08, 95% CI 1.46-6.51). Optimism-corrected C-index was 0.740 for the Adjusted Grade-based nomogram, compared with 0.727 for the IASLC-based nomogram and 0.612 for TNM staging. After adding CTR, they were 0.763 and 0.745 for the Adjusted Grade- and IASLC-based nomogram. Decision-curve analysis showed similar net benefit profiles for the two nomograms.Conclusion  High-grade components below 20% were associated with poorer DFS. The Adjusted Grade-based nomogram improved internal discrimination versus IASLC Grade and TNM staging but showed no clear clinical-benefit advantage over IASLC Grade. External validation is needed to establish optimal thresholds and clinical utility.
SN  - 2045-7634
ER  -