Comprehensive molecular testing (PD-L1, EGFR, ALK) is no longer reserved for advanced disease. It is now critical for all patients with stage 1B or higher resectable NSCLC *before* starting any treatment to guide neoadjuvant and adjuvant therapy decisions.

As multiple new drugs like antibody-drug conjugates (ADCs) become available for SCLC, the critical research question will shift from *if* they work to *when* they should be used. Future biomarker strategies must focus on optimizing treatment sequences, considering factors like the drug's target and payload.

The NAOTRACT trial is pioneering the use of Tumor-Infiltrating Lymphocytes (TILs) as a predictive biomarker. Patients with high TILs receive a less intensive, anthracycline-free neoadjuvant regimen, potentially sparing them from toxicity while maintaining efficacy, representing a major step toward personalized immunotherapy.

The traditional "germinal center" (GC) classification for DLBCL is overly simplistic. Molecular analysis reveals distinct subtypes within GC, such as "dark zone" and "light zone" signatures, which have different prognoses and responses to targeted therapies like polatuzumab.

Experts view R-mini-CHOP, the standard for older/unfit DLBCL patients, as a poor benchmark that urgently needs to be replaced. Promising chemo-free or chemo-light regimens, like the R-Polo-Glofitamab combination, are seen as the future, aiming to improve outcomes in this vulnerable population without harsh toxicities.

The RSClin tool integrates a patient's Oncotype DX score with their unique clinical-pathologic features, such as tumor size and grade. This provides a more accurate and personalized risk assessment, as the same genomic score can represent significantly different prognoses for patients who have low versus high clinical risk factors.

Due to a 20% misclassification rate with the Hans algorithm for determining cell of origin, clinicians use an IPI score of 2 or greater as the primary criterion for selecting Polatuzumab-R-CHOP. This avoids potentially giving 1 in 5 patients the wrong therapy based on an imperfect biomarker.

The Rampart study's use of the Leibovic score for risk stratification is a key strength. Unlike traditional TNM staging, this score more heavily weights tumor grade, which clinicians find to be a more granular and clinically relevant predictor of recurrence risk than just tumor size.

The ongoing Alliance ASPIRE trial is one of the first to use tumor biology, specifically alterations in suppressor genes like P10, P53, and RB1, as a primary stratification factor. This marks a significant move away from relying on imaging-based volume criteria (high vs. low) to determine prognosis and predict who may benefit from chemotherapy.