Multidisciplinary Management of Lung Cancer in China
Wenhua Liang
In stage 1A lung cancer, chemotherapy adds nothing, yet about 20 percent of these patients still recur. Professor Wenhua Liang shows how a gene assay changes that picture: enrich for the hig...
In stage 1A lung cancer, chemotherapy adds nothing, yet about 20 percent of these patients still recur. Professor Wenhua Liang shows how a gene assay changes that picture: enrich for the high-risk patients, give adjuvant EGFR TKI, and recurrence falls below 5 percent. Drawing on a Chinese registry of roughly 7 million inpatient cases from 2016 to 2021, he lays out where comprehensive treatment is heading and where access still fails.
Liang covers who actually needs adjuvant therapy, how to handle multiple primary tumors, when chemotherapy can be dropped in EGFR-mutant disease, and how to reach patients in regions where molecular testing is slow, costly, or unavailable. The recurring theme is precision applied to the parts of the system that usually get left out.
Key points for clinicians:
In a retrospective cohort, high-risk stage 1A patients identified by a gene assay had about 30 percent recurrence under surveillance, dropping below 5 percent with adjuvant EGFR TKI. The FORWARD registry study of adjuvant furmonertinib, a Chinese third-generation TKI, was the first to include high-risk stage 1A.
Multiple primary lung cancer accounts for about 15 percent of early-stage cases in China and East Asia. A radiomic AI model predicts EGFR status without biopsying every lesion, and EGFR TKI in predicted-positive cases reached about 60 percent overall response, sparing many patients repeat surgery.
In EGFR-mutant disease, a reanalysis of ADAURA showed chemotherapy before EGFR TKI added no benefit. Liang argues for dropping chemotherapy and prolonging the TKI, since most patients recur after withdrawal.
Neoadjuvant IO cycles cluster around three to four as optimal in real-world data, possibly more in multicenter work. In stage 3, patients who chose surgery over radiotherapy had better overall survival.
Lymph node positive patients had roughly one-eighth the pathologic response rate of node-negative patients. Liang makes the case for scoring nodal pathologic response too, using a cutoff below 10 percent viable cells, since combining primary and nodal response improves prognostic prediction.
For access, a pathological AI model predicts mutation status to triage patients toward cheap confirmatory PCR or IHC where full testing is unavailable. And for late-stage tissue, excisional surgical biopsy reached 100 percent NGS success versus about 40 percent insufficient sampling with needle biopsy, protecting the chance at targeted therapy.