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. 2024 Sep 9;43(3):260–272. doi: 10.1200/JCO-24-01544

Datopotamab Deruxtecan Versus Docetaxel for Previously Treated Advanced or Metastatic Non–Small Cell Lung Cancer: The Randomized, Open-Label Phase III TROPION-Lung01 Study

Myung-Ju Ahn 1, Kentaro Tanaka 2, Luis Paz-Ares 3, Robin Cornelissen 4, Nicolas Girard 5, Elvire Pons-Tostivint 6, David Vicente Baz 7, Shunichi Sugawara 8, Manuel Cobo 9, Maurice Pérol 10, Céline Mascaux 11, Elena Poddubskaya 12, Satoru Kitazono 13, Hidetoshi Hayashi 14, Min Hee Hong 15, Enriqueta Felip 16, Richard Hall 17, Oscar Juan-Vidal 18, Daniel Brungs 19, Shun Lu 20, Marina Garassino 21, Michael Chargualaf 22, Yong Zhang 22, Paul Howarth 22, Deise Uema 22, Aaron Lisberg 23, Jacob Sands 24,; TROPION-Lung01 Trial Investigators, for the TROPION-Lung01 Trial Investigators
PMCID: PMC11771353  PMID: 39250535

Abstract

PURPOSE

The randomized, open-label, global phase III TROPION-Lung01 study compared the efficacy and safety of datopotamab deruxtecan (Dato-DXd) versus docetaxel in patients with pretreated advanced/metastatic non–small cell lung cancer (NSCLC).

METHODS

Patients received Dato-DXd 6 mg/kg or docetaxel 75 mg/m2 once every 3 weeks. Dual primary end points were progression-free survival (PFS) and overall survival (OS). Objective response rate, duration of response, and safety were secondary end points.

RESULTS

In total, 299 and 305 patients were randomly assigned to receive Dato-DXd or docetaxel, respectively. The median PFS was 4.4 months (95% CI, 4.2 to 5.6) with Dato-DXd and 3.7 months (95% CI, 2.9 to 4.2) with docetaxel (hazard ratio [HR], 0.75 [95% CI, 0.62 to 0.91]; P = .004). The median OS was 12.9 months (95% CI, 11.0 to 13.9) and 11.8 months (95% CI, 10.1 to 12.8), respectively (HR, 0.94 [95% CI, 0.78 to 1.14]; P = .530). In the prespecified nonsquamous histology subgroup, the median PFS was 5.5 versus 3.6 months (HR, 0.63 [95% CI, 0.51 to 0.79]) and the median OS was 14.6 versus 12.3 months (HR, 0.84 [95% CI, 0.68 to 1.05]). In the squamous histology subgroup, the median PFS was 2.8 versus 3.9 months (HR, 1.41 [95% CI, 0.95 to 2.08]) and the median OS was 7.6 versus 9.4 months (HR, 1.32 [95% CI, 0.91 to 1.92]). Grade ≥3 treatment-related adverse events occurred in 25.6% and 42.1% of patients, and any-grade adjudicated drug-related interstitial lung disease/pneumonitis occurred in 8.8% and 4.1% of patients, in the Dato-DXd and docetaxel groups, respectively.

CONCLUSION

Dato-DXd significantly improved PFS versus docetaxel in patients with advanced/metastatic NSCLC, driven by patients with nonsquamous histology. OS showed a numerical benefit but did not reach statistical significance. No unexpected safety signals were observed.


NSCLC: Dato-DXd vs doce PFS (HR 0.75), OS 12.9 v 11.8 mos (HR 0.94). See article for non-squam data!

INTRODUCTION

Non–small cell lung cancer (NSCLC) accounts for approximately 85% of lung cancer diagnoses and can be broadly subclassified into nonsquamous and squamous histologic types (approximately 75% and 25% prevalence, respectively).1,2 Historically, the 5-year survival rate among individuals with advanced/metastatic NSCLC has been <10%.3 First-line immunotherapy and targeted therapies have improved survival and quality-of-life outcomes; however, most patients eventually progress, after which treatment options are limited.4-7 Docetaxel-based regimens are the current standard of care in the second-line setting and beyond.7 Unfortunately, survival outcomes remain poor and patients often experience substantial toxicity, underscoring a high unmet need.8,9 Until now, no new monotherapies have shown superiority over docetaxel in clinical trials in biomarker-unselected populations after exposure to contemporary first-line agents.10-12

CONTEXT

  • Key Objective

  • Outcomes for patients with advanced/metastatic non–small cell lung cancer (NSCLC) who receive standard docetaxel-based chemotherapy after disease progression remain suboptimal. This global phase III study evaluated datopotamab deruxtecan (Dato-DXd) versus docetaxel in patients with previously treated NSCLC.

  • Knowledge Generated

  • Dato-DXd demonstrated a statistically significant improvement in progression-free survival (median, 4.4 v 3.7 months; hazard ratio [HR], 0.75; P = .004) and numerical improvement in overall survival (OS; median, 12.9 v 11.8 months; HR, 0.94; P = .530) over docetaxel; superior clinical benefits were observed in patients with nonsquamous histology. Grade ≥3 treatment-related adverse events and treatment discontinuations were less frequent with Dato-DXd than with docetaxel.

  • Relevance (T.E. Stinchcombe)

  • A prospective trial in patients with NSCLC with nonsquamous histology (with sufficient statistical power to detect a clinically relevant difference in OS) is warranted.*

  • *Relevance section written by JCO Associate Editor Thomas E. Stinchcombe, MD.

Datopotamab deruxtecan (Dato-DXd; DS-1062a) is an antibody–drug conjugate composed of a humanized trophoblast cell surface antigen 2 (TROP2)–directed monoclonal antibody covalently linked to a topoisomerase I inhibitor payload via a plasma-stable, cleavable linker.13 After TROP2 binding and antibody–drug conjugate internalization, the deruxtecan payload is released within the target cell to induce DNA damage and subsequent cell death; the membrane permeability of deruxtecan also promotes cytotoxic bystander activity.13

Early-phase studies demonstrated promising results for Dato-DXd in heavily pretreated patients with NSCLC.14,15 Here, we report the final analyses from the phase III TROPION-Lung01 clinical trial (ClinicalTrials.gov identifier: NCT04656652), evaluating the efficacy and safety of Dato-DXd compared with those of docetaxel in patients with previously treated advanced/metastatic NSCLC.

METHODS

Patients

Eligible patients had stage IIIB/C or IV NSCLC. Patients without actionable genomic alterations must have only received platinum-based chemotherapy and anti–PD-1/PD-L1 immunotherapy. Patients with protocol-specified actionable genomic alterations (EGFR, ALK, ROS1, NTRK, BRAF, MET exon 14 skipping, or RET) must have received one to two lines of targeted therapy and platinum-based chemotherapy, with or without anti–PD-1/PD-L1. Patients with clinically inactive or treated asymptomatic brain metastases were eligible. Patients were excluded if they had a current or suspected diagnosis or history of interstitial lung disease (ILD) requiring steroids. Full eligibility criteria are provided in the Protocol (online only).

Study Design and Treatment

TROPION-Lung01 is a randomized, open-label, global phase III study comparing the safety and efficacy of Dato-DXd versus docetaxel in patients with advanced/metastatic NSCLC (Appendix Fig A1, online only). Patients were randomly assigned 1:1 (stratified by histology, actionable genomic alteration status, geographic region, and immediate previous therapy with anti–PD-1/PD-L1) to receive Dato-DXd 6 mg/kg or docetaxel 75 mg/m2 intravenously once every 3 weeks until disease progression, unacceptable toxicity, or other reasons. Crossover between study groups was not permitted.

This clinical trial was funded, sponsored, and designed by Daiichi Sankyo in collaboration with AstraZeneca, was approved by the institutional review board at each participating site, and was conducted in accordance with the International Council for Harmonisation Good Clinical Practice guidelines, the Declaration of Helsinki, and local regulations regarding the conduct of clinical research. All patients provided written informed consent before participation. Data were analyzed and interpreted by the authors and the funder (Daiichi Sankyo).

End Points and Assessments

The dual primary end points were progression-free survival (PFS) by blinded independent central review per RECIST version 1.1 and overall survival (OS). Objective response rate (ORR), duration of response (DOR), and safety were secondary end points. The Data Supplement (Table S1, online only) provides data cutoff dates for the analyses.

Treatment-related adverse events (TRAEs) were investigator-determined, coded, and graded per Medical Dictionary for Regulatory Activities (MedDRA) version 26.0 and National Cancer Institute Common Terminology Criteria for Adverse Events version 5.0. Treatment-emergent adverse events of special interest included oral mucositis/stomatitis, ocular surface events, and adjudicated ILD/pneumonitis; all were grouped terms of predefined MedDRA preferred terms. Treatment management guidelines were implemented and updated during the Dato-DXd clinical development program (Data Supplement, Tables S2 and S3).16 An independent committee adjudicated any potential cases of ILD/pneumonitis to confirm that events were true cases and, if so, to determine severity and causality.

Tumor response by computed tomography or magnetic resonance imaging was conducted at baseline (within 28 days of random assignment) and then every 6 weeks (plus or minus 7 days) until disease progression. Assessment of response was via RECIST version 1.1 regardless of study treatment discontinuation or start of new anticancer therapy. All randomly assigned patients were followed for survival at least every 3 months after discontinuing the study drug, until the end of the study, or until consent was withdrawn.

Statistical Analysis

The study has dual primary end points, PFS and OS, and was considered positive if the hypothesis test for either one was successful. The planned sample size was approximately 590 patients. The full analysis set included all randomly assigned patients. One patient was randomly assigned twice; only one patient identifier was included in the full analysis set. For the primary analyses, approximately 425 PFS events by blinded independent central review were required to have a 97% power to detect a hazard ratio (HR) of 0.64 at a two-sided significance level of 0.008 and approximately 413 OS events were required to have at least a 90% power to detect an HR of 0.72 at a two-sided significance level of 0.042 (with alpha subject to rollover between PFS and OS).

PFS, OS, and DOR were analyzed using the Kaplan-Meier method, and the corresponding two-sided 95% CIs were determined according to the Brookmeyer and Crowley method. The stratified Cox regression model, stratified by two random assignment factors (histology and region), was used to estimate HRs between groups. Details of the random assignment stratification factors are provided in Appendix 1, Statistical Methods. The Clopper-Pearson method was used to calculate two-sided 95% CIs for ORR and disease control rate. All other end points were summarized descriptively. Safety was evaluated in all patients who received at least one dose of study drug. Data derived from electronic case report forms were used for post hoc analyses of histology and actionable genomic alteration status to account for any discrepancies with interactive response technology at random assignment.

RESULTS

Patients and Treatment

Between February 17, 2021, and November 7, 2022, there were 299 patients randomly assigned to receive Dato-DXd and 305 patients to receive docetaxel (Fig 1). Demographic and baseline characteristics were balanced between groups (Table 1). Most patients had tumors of nonsquamous histology (78.3% and 76.7% for Dato-DXd and docetaxel, respectively) and 16.7% of patients in each group had actionable genomic alterations (Table 1; Data Supplement, Table S4). Baseline characteristics by histologic subgroup are presented in the Data Supplement (Table S5).

FIG 1.

FIG 1.

CONSORT diagram. Data cutoff: March 1, 2024. aOne patient in the docetaxel treatment group was randomly assigned twice; treatment was not initiated under the first patient identifier, and only the second patient identifier was included. A total of 305 unique patients were allocated to docetaxel. AE, adverse event; Dato-DXd, datopotamab deruxtecan; PD, progressive disease.

TABLE 1.

Demographics and Clinical Characteristics of Patients at Baseline

Characteristic Dato-DXd (n = 299) Docetaxel (n = 305)
Age, years, median (range) 63.0 (26.0-84.0) 64.0 (24.0-88.0)
Sex, male, No. (%) 183 (61.2) 210 (68.9)
Race, No. (%)
 White 123 (41.1) 126 (41.3)
 Asian 119 (39.8) 120 (39.3)
 Black or African American 6 (2.0) 4 (1.3)
 American Indian or Alaska Native 1 (0.3) 0
 Other/missing 50 (16.7) 55 (18.0)
Ethnic group, No. (%)
 Hispanic or Latino 10 (3.3) 8 (2.6)
 Not Hispanic or Latino 251 (83.9) 253 (83.0)
 Unknown/missing 38 (12.7) 44 (14.4)
Geographic region, No. (%)
 Europe 137 (45.8) 152 (49.8)
 Asia 113 (37.8) 118 (38.7)
 North America 39 (13.0) 26 (8.5)
 Australia 7 (2.3) 8 (2.6)
 South America 3 (1.0) 1 (0.3)
Smoking status, No. (%)
 Current 39 (13.0) 42 (13.8)
 Former 199 (66.6) 209 (68.5)
 Never 61 (20.4) 52 (17.0)
 Missing 0 2 (0.7)
ECOG performance status score, No. (%)a
 0 89 (29.8) 94 (30.8)
 1 210 (70.2) 211 (69.2)
Histology, No. (%)
 Adenocarcinoma 222 (74.2) 223 (73.1)
 Large cell 2 (0.7) 1 (0.3)
 Squamous 65 (21.7) 71 (23.3)
 Other 10 (3.3) 10 (3.3)
Actionable genomic alterations, No. (%)
 Absent 249 (83.3) 254 (83.3)
 Present 50 (16.7) 51 (16.7)
PD-L1 expression, No. (%)
 <1% 104 (34.8) 116 (38.0)
 ≥1% 158 (52.8) 147 (48.2)
 Unknown/missing 11 (3.7) 9 (3.0)
 Not done 26 (8.7) 33 (10.8)
Brain metastases at baseline, No. (%) 79 (26.4) 91 (29.8)
Previous cancer therapy, No. (%)
 Platinum chemotherapy 297 (99.3) 305 (100)
 Nonplatinum chemotherapy 298 (99.7) 304 (99.7)
 Anti–PD-L1 therapy 263 (88.0) 268 (87.9)
 Targeted therapy 46 (15.4) 50 (16.4)
 Other 60 (20.1) 64 (21.0)
Previous lines of systemic therapy for metastatic disease, No. (%)b
 1 167 (55.9) 174 (57.0)
 2 108 (36.1) 102 (33.4)
 3 17 (5.7) 23 (7.5)
 ≥4 5 (1.7) 5 (1.6)

NOTE. Percentages are based on the number of patients in the full analysis set. Baseline is defined as the last available assessment before the start of study treatment. If a patient was randomly assigned but not treated, the last available assessment on or before the random assignment date was used as the baseline value.

Abbreviations: Dato-DXd, datopotamab deruxtecan; ECOG, Eastern Cooperative Oncology Group.

a

Screening score.

b

Two patients in the Dato-DXd treatment group and one patient in the docetaxel treatment group had no previous lines of systemic therapy in the advanced/metastatic setting. Per investigator reporting, these patients received previous systemic anticancer therapy in settings other than the advanced/metastatic setting.

The median follow-up for PFS was 10.9 months (95% CI, 9.8 to 12.5) and 9.6 months (95% CI, 8.2 to 11.9) with Dato-DXd and docetaxel, respectively. The median follow-up for OS was 23.1 months (95% CI, 22.0 to 24.8) with Dato-DXd and 23.1 months (95% CI, 21.7 to 24.2) with docetaxel. The median number of treatment cycles was 6.0 with Dato-DXd (range, 1-39) and 4.0 with docetaxel (range, 1-34). A similar proportion of patients treated with Dato-DXd (52.2%) or docetaxel (55.4%) received post-treatment anticancer therapy (Data Supplement, Table S6).

Efficacy

At the primary analysis for PFS, Dato-DXd showed a statistically significant improvement over docetaxel in the full analysis set: the median PFS was 4.4 months (95% CI, 4.2 to 5.6) and 3.7 months (95% CI, 2.9 to 4.2), respectively (HR, 0.75 [95% CI, 0.62 to 0.91]; P = .004; Fig 2A). Prespecified subgroup analyses showed benefit in favor of Dato-DXd, except for a differential effect seen with histology (Fig 2B). Among patients with nonsquamous tumors, the median PFS was 5.5 months (95% CI, 4.3 to 6.9) with Dato-DXd and 3.6 months (95% CI, 2.9 to 4.2) with docetaxel (HR, 0.63 [95% CI, 0.51 to 0.79]; Fig 2C). In patients with nonsquamous tumors with actionable genomic alterations, the median PFS was 5.7 months (95% CI, 4.2 to 8.2) with Dato-DXd and 2.6 months (95% CI, 1.4 to 3.7) with docetaxel (HR, 0.35; 95% CI, 0.21 to 0.60; Data Supplement, Table S7). In patients with squamous tumors, the median PFS was 2.8 months (95% CI, 1.9 to 4.2) and 3.9 months (95% CI, 2.9 to 5.5) for Dato-DXd and docetaxel, respectively (HR, 1.41 [95% CI, 0.95 to 2.08]; Fig 2D). Statistical testing for interaction between treatment and histology provided further support for the PFS findings by histology (Cox regression interaction, P = .0006; Data Supplement, Table S8).

FIG 2.

FIG 2.

PFS by treatment and key subgroups. Data cutoff: March 29, 2023. (A) Kaplan-Meier curves for PFS in the full analysis set, (B) HRs of PFS in key subgroups, (C) Kaplan-Meier curves for PFS in patients with nonsquamous histology, and (D) Kaplan-Meier curves for PFS in patients with squamous histology. PFS was assessed by blinded independent central review. Tick marks in the Kaplan-Meier curves represent censored data. HRs and CIs in the forest plot were calculated on the basis of the patient data in the electronic case report forms for the histology and actionable genomic alteration subgroups. aRegardless of histology. Dato-DXd, datopotamab deruxtecan; HR, hazard ratio; PFS, progression-free survival.

At the final analysis for OS, Dato-DXd showed a numerical, although not statistically significant, improvement over docetaxel in the full analysis set. The median OS was 12.9 months (95% CI, 11.0 to 13.9) with Dato-DXd and 11.8 months (95% CI, 10.1 to 12.8) with docetaxel (HR, 0.94 [95% CI, 0.78 to 1.14]; P = .530; Fig 3A). Most prespecified subgroups tended to numerically favor Dato-DXd or showed no difference, with divergence seen on the basis of histology and in subgroups with small numbers of patients (Fig 3B). Among patients with nonsquamous tumors, the median OS was 14.6 months (95% CI, 12.4 to 16.0) with Dato-DXd and 12.3 months (95% CI, 10.7 to 14.0) with docetaxel (HR, 0.84 [95% CI, 0.68 to 1.05]; Fig 3C). In patients with nonsquamous tumors with actionable genomic alterations, the median OS was 15.6 months (95% CI, 12.0 to 16.9) with Dato-DXd and 9.8 months (95% CI, 6.2 to 14.8) with docetaxel (HR, 0.65 [95% CI, 0.40 to 1.08]; Data Supplement, Table S7). In patients with squamous tumors, the median OS was 7.6 months (95% CI, 5.0 to 11.0) and 9.4 months (95% CI, 7.2 to 12.5) with Dato-DXd and docetaxel, respectively (HR, 1.32 [95% CI, 0.91 to 1.92]; Fig 3D). Interaction testing between treatment and histology also supported the OS histologic findings (Cox regression interaction, P = .0312; Data Supplement, Table S8).

FIG 3.

FIG 3.

OS by treatment and key subgroups. Data cutoff: March 1, 2024. (A) Kaplan-Meier curves for OS in the full analysis set, (B) HRs of OS in key subgroups, (C) Kaplan-Meier curves for OS in patients with nonsquamous histology, and (D) Kaplan-Meier curves for OS in patients with squamous histology. Tick marks in the Kaplan-Meier curves represent censored data. HRs and CIs in the forest plot were calculated on the basis of the patient data in the electronic case report forms for the histology and actionable genomic alteration subgroups. aRegardless of histology. Dato-DXd, datopotamab deruxtecan; HR, hazard ratio; OS, overall survival.

The percentage of patients with a confirmed objective response by blinded independent central review was 26.4% (95% CI, 21.5 to 31.8) with Dato-DXd and 12.8% (95% CI, 9.3 to 17.1) with docetaxel (Table 2). Responses to Dato-DXd (median 7.1 months; 95% CI, 5.6 to 10.9) were more durable than responses to docetaxel (median 5.6 months; 95% CI, 5.4 to 8.1). Consistent with the survival findings, superior secondary efficacy outcomes were observed for Dato-DXd compared with docetaxel in the nonsquamous subgroup (Table 2) and these occurred irrespective of actionable genomic alteration status (Data Supplement, Table S7).

TABLE 2.

Overall Efficacy for All Patients and by Histology

Variable All Patients Nonsquamous Histology Squamous Histology
Dato-DXd (n = 299) Docetaxel (n = 305) Dato-DXd (n = 234) Docetaxel (n = 234) Dato-DXd (n = 65) Docetaxel (n = 71)
PFS, months, median (95% CI)a,b 4.4 (4.2 to 5.6) 3.7 (2.9 to 4.2) 5.5 (4.3 to 6.9) 3.6 (2.9 to 4.2) 2.8 (1.9 to 4.2) 3.9 (2.9 to 5.5)
 HR for disease progression or death (95% CI) 0.75 (0.62 to 0.91) 0.63 (0.51 to 0.79) 1.41 (0.95 to 2.08)
P .004 NA NA
OS, months, median (95% CI)c,d 12.9 (11.0 to 13.9) 11.8 (10.1 to 12.8) 14.6 (12.4 to 16.0) 12.3 (10.7 to 14.0) 7.6 (5.0 to 11.0) 9.4 (7.2 to 12.5)
 HR for death (95% CI) 0.94 (0.78 to 1.14) 0.84 (0.68 to 1.05) 1.32 (0.91 to 1.92)
P .530 NA NA
Confirmed ORR, No.a,e 79 39 73 30 6 9
 Percent (95% CI) 26.4 (21.5 to 31.8) 12.8 (9.3 to 17.1) 31.2 (25.3 to 37.6) 12.8 (8.8 to 17.8) 9.2 (3.5 to 19.0) 12.7 (6.0 to 22.7)
Best overall response, No. (%)a
 CR 4 (1.3) 0 4 (1.7) 0 0 0
 PR 75 (25.1) 39 (12.8) 69 (29.5) 30 (12.8) 6 (9.2) 9 (12.7)
 SD 149 (49.8) 153 (50.2) 113 (48.3) 110 (47.0) 36 (55.4) 43 (60.6)
 Non-CR/non-PD 3 (1.0) 6 (2.0) 2 (0.9) 3 (1.3) 1 (1.5) 3 (4.2)
 PD 46 (15.4) 64 (21.0) 31 (13.2) 53 (22.6) 15 (23.1) 11 (15.5)
 NE 22 (7.4) 43 (14.1) 15 (6.4) 38 (16.2) 7 (10.8) 5 (7.0)
DCR, No.a,f 231 198 188 143 43 55
 Percent (95% CI) 77.3 (72.1 to 81.9) 64.9 (59.3 to 70.3) 80.3 (74.7 to 85.2) 61.1 (54.5 to 67.4) 66.2 (53.4 to 77.4) 77.5 (66.0 to 86.5)
DOR, months, median (95% CI)a,g 7.1 (5.6 to 10.9) 5.6 (5.4 to 8.1) 7.7 (5.6 to 11.1) 5.6 (5.4 to 6.0) 5.9 (3.2 to NE) 8.1 (2.8 to NE)
TTR, months, mediana 1.6 2.6 1.6 2.0 1.4 2.7

NOTE. For the overall population, percentages are based on the number of patients in the full analysis set. For patients with nonsquamous and squamous histology, percentages are based on the number of patients in the respective subsets. Values for the nonsquamous and squamous histology subgroups were calculated on the basis of patient data in the electronic case report forms.

Abbreviations: CR, complete response; Dato-DXd, datopotamab deruxtecan; DCR, disease control rate; DOR, duration of response; HR, hazard ratio; NA, not applicable; NE, not evaluable; Non-CR/non-PD, noncomplete response/nonprogressive disease; NSCLC, non–small cell lung cancer; ORR, objective response rate; OS, overall survival; PD, progressive disease; PFS, progression-free survival; PR, partial response; SD, stable disease; TTR, time to response.

a

Data cutoff: March 29, 2023.

b

The median follow-up for PFS was 10.9 months (95% CI, 9.8 to 12.5) with Dato-DXd and 9.6 months (95% CI, 8.2 to 11.9) with docetaxel.

c

Data cutoff: March 1, 2024.

d

The median follow-up for OS was 23.1 months (95% CI, 22.0 to 24.8) with Dato-DXd and 23.1 months (95% CI, 21.7 to 24.2) with docetaxel.

e

Confirmed ORR was defined as the sum of CR and PR rates.

f

DCR was defined as the sum of CR, PR, and SD rates.

g

Kaplan-Meier estimate.

Safety

The safety analysis set included 297 and 290 treated patients in the Dato-DXd and docetaxel groups, respectively. The median treatment durations were 4.2 months (range, 0.7-27.2) with Dato-DXd and 2.8 months (range, 0.7-25.3) with docetaxel. The incidence of any-grade TRAEs was similar in both groups (87.5% and 86.9%, respectively; Table 3). Grade ≥3 TRAEs occurred at rates of 25.6% and 42.1%, serious TRAEs at 11.1% and 12.8%, dose reductions at 20.2% and 29.7%, and treatment discontinuations at 8.1% and 12.1% for Dato-DXd and docetaxel, respectively. No late-onset toxicities were observed for Dato-DXd in this study. Three patients (1.0%) treated with Dato-DXd and 2 (0.7%) with docetaxel had investigator-assessed TRAEs associated with death: two cases of ILD/pneumonitis and one of sepsis (Dato-DXd) and one case of ILD/pneumonitis and one of septic shock (docetaxel).

TABLE 3.

Overall Safety Summary

Patients With Events Dato-DXd (n = 297), No. (%) Docetaxel (n = 290), No. (%)
TRAEs 260 (87.5) 252 (86.9)
 Grade ≥3 76 (25.6) 122 (42.1)
 Dose modifications
  Dose reduction 60 (20.2) 86 (29.7)
  Treatment interruption 51 (17.2) 35 (12.1)
  Treatment discontinuation 24 (8.1)a 35 (12.1)b
Serious TRAEs 33 (11.1) 37 (12.8)
 Grade ≥3 28 (9.4) 34 (11.7)
 Associated with death 3 (1.0) 2 (0.7)

NOTE. Data cutoff: March 1, 2024.

Abbreviations: Dato-DXd, datopotamab deruxtecan; ILD, interstitial lung disease; PT, preferred term; TRAE, treatment-related adverse event.

a

The most common TRAEs leading to discontinuation with Dato-DXd were pneumonitis (PT), with 13 events (4.4%) occurring, and ILD (PT), with three events (1.0%) occurring.

b

The most common TRAEs leading to discontinuation with docetaxel were asthenia, neuropathy peripheral, and pneumonitis (PT), each with five events (1.7%) occurring.

For Dato-DXd, the most frequently occurring any-grade TRAEs were stomatitis (141 patients [47.5%]) and nausea (101 patients [34.0%]), both of which were more frequent than in the docetaxel group (45 [15.5%] and 48 [16.6%] patients, respectively; Table 4). In patients receiving docetaxel, the most frequent any-grade TRAEs were alopecia (101 patients [34.8%]), neutropenia (76 [26.2%]), and anemia (60 [20.7%]). Febrile neutropenia (any grade) occurred in one patient (0.3%) receiving Dato-DXd and in 20 (6.9%) receiving docetaxel. Twenty patients (6.7%) receiving Dato-DXd experienced grade ≥3 stomatitis, whereas 12 (4.0%) experienced grade ≥3 anemia. With docetaxel, neutropenia (68 patients [23.4%]) and leukopenia (38 [13.1%]) were the most frequent grade ≥3 TRAEs.

TABLE 4.

TRAEs Observed in ≥15% of Patients and Adjudicated Drug-Related ILD or Pneumonitis

Patients With Events Dato-DXd (n = 297), No. (%) Docetaxel (n = 290), No. (%)
Any Grade Grade ≥3 Any Grade Grade ≥3
GI disordersa
 Stomatitis 141 (47.5) 20 (6.7) 45 (15.5) 3 (1.0)
 Nausea 101 (34.0) 7 (2.4) 48 (16.6) 3 (1.0)
 Diarrhea 30 (10.1) 1 (0.3) 55 (19.0) 4 (1.4)
Hematologic disordersa
 Anemiab 44 (14.8) 12 (4.0) 60 (20.7) 12 (4.1)
 Neutropeniac 14 (4.7) 2 (0.7) 76 (26.2) 68 (23.4)
 Leukopeniad 9 (3.0) 0 45 (15.5) 38 (13.1)
Skin and subcutaneous tissue disordersa
 Alopecia 95 (32.0) 0 101 (34.8) 1 (0.3)
Metabolism and nutrition disordersa
 Decreased appetite 68 (22.9) 1 (0.3) 46 (15.9) 1 (0.3)
General disorders and administration site conditionsa
 Asthenia 56 (18.9) 8 (2.7) 56 (19.3) 5 (1.7)
Adjudicated drug-related ILD or pneumonitise 26 (8.8) 11 (3.7) 12 (4.1) 4 (1.4)

NOTE. Data cutoff: March 1, 2024.

Abbreviations: Dato-DXd, datopotamab deruxtecan; ILD, interstitial lung disease; PT, preferred term.

a

No grade 5 events occurred with Dato-DXd or docetaxel.

b

Grouped PTs of anemia, hemoglobin decreased, and RBC count decreased.

c

Grouped PTs of neutropenia and neutrophil count decreased.

d

Grouped PTs of leukopenia and WBC count decreased.

e

Among the 26 patients (8.8%) in the Dato-DXd group who had adjudicated drug-related ILD or pneumonitis, two (0.7%) had grade 1 events, 13 (4.4%) had grade 2 events, three (1.0%) had grade 3 events, one (0.3%) had a grade 4 event, and seven (2.4%) had grade 5 events. Among the 12 (4.1%) patients in the docetaxel group who had adjudicated drug-related ILD or pneumonitis, 0 had grade 1 events, eight (2.8%) had grade 2 events, three (1.0%) had grade 3 events, 0 had grade 4 events, and one (0.3%) had a grade 5 event.

Treatment-emergent adverse events of special interest for Dato-DXd are summarized in the Data Supplement (Tables S9 and S10). Oral mucositis/stomatitis occurred in 164 patients (55.2%) receiving Dato-DXd versus 60 (20.7%) receiving docetaxel; most events with Dato-DXd were grade 1 (82 [27.6%]) or 2 (62 [20.9%]). Dose reductions because of oral mucositis/stomatitis occurred in 31 patients (10.4%), and discontinuations occurred in 2 (0.7%) who received Dato-DXd. The median time to onset for stomatitis was 15.0 days with Dato-DXd and 9.0 with docetaxel (assessed by the investigator). The most frequently reported ocular surface events with Dato-DXd were lacrimation increased (23 patients [7.7%]) and dry eye (21 [7.1%]), all of which were mild or moderate; any-grade and grade ≥3 keratitis occurred in 12 (4.0%) and 4 (1.3%) patients, respectively. Adjudicated drug-related ILD occurred in 26 (8.8%) and 12 (4.1%) patients in the Dato-DXd and docetaxel groups, respectively (Table 4). The median time to onset was 52.0 days with Dato-DXd and 42.0 with docetaxel (assessed by adjudication). With Dato-DXd, two (0.7%) events were grade 1. Treatment discontinuations occurred in 15 patients (5.1%); 13 (4.4%) and 11 patients (3.7%) experienced grade 2 and grade ≥3 events, respectively. Seven patients (2.4%) with adjudicated drug-related ILD died (4 of 232 patients [1.7%] with nonsquamous and 3 of 65 [4.6%] with squamous histologies). Four of these seven cases had the investigator-assessed cause of death attributed to disease progression.

DISCUSSION

TROPION-Lung01 met its dual primary end point of PFS, showing a statistically significant improvement for Dato-DXd over docetaxel in patients with pretreated advanced/metastatic NSCLC. Dato-DXd was also associated with doubling of the ORR and longer DOR compared with docetaxel. Dato-DXd is the first systemic monotherapy to show superior efficacy to docetaxel in a head-to-head, randomized, phase III clinical study of biomarker-unselected patients with NSCLC previously exposed to immuno- or targeted therapies.

A key finding of this study is that the clinical activity of Dato-DXd monotherapy is distinctly different in histologic subgroups of NSCLC. In patients with nonsquamous histology, PFS with Dato-DXd was superior to what was seen with docetaxel and improved efficacy was seen versus docetaxel for all other end points, regardless of actionable genomic alteration status. Histology was a prespecified stratification factor because of the well-known biologic differences and differing sensitivities of histologic subtypes to therapeutic agents17-19 although the study was not powered to demonstrate statistical significance. These results have been independently supported by findings from ICARUS-Lung0120 and TROPION-PanTumor02,21 both of which showed improved ORR and PFS for Dato-DXd in nonsquamous NSCLC. The biologic rationale for the differential efficacy of Dato-DXd by histology is likely to be multifactorial because of its mechanism of action. Dato-DXd activity is dependent on internalization because the linker is cleaved intracellularly.13 In this regard, precise computational pathology methods may offer insights into the subcellular localization and heterogeneity of TROP2 expression,22 which could further explain the histologic differences of TROP2 internalization capacity. In addition, lysosomal proteases (which cleave the Dato-DXd linker) and drug efflux pumps are differentially expressed in NSCLC histologic subgroups, potentially affecting Dato-DXd activity.23-25 Although the benefit of Dato-DXd relative to docetaxel appears to be numerically greater in the actionable genomic alteration subgroup, it is likely that this is driven by limitations of docetaxel. Furthermore, the finding that patients with actionable genomic alterations also tended to respond better to Dato-DXd than those without suggests that histology might not be the only factor that influences Dato-DXd activity in patients with NSCLC.

OS, the second dual primary end point, did not reach statistical significance in the full analysis set. The poorer efficacy identified in patients with squamous histology might have also negatively affected survival outcomes in the overall population. In patients with nonsquamous histology, PFS and OS each showed benefit for Dato-DXd (median improvements of 1.9 months [HR, 0.63] and 2.3 months [HR, 0.84], respectively), suggesting that the delay in disease progression contributed to a clinically meaningful increase in survival (although the study was not powered to show the statistical significance of any improvements in survival in the patient subgroups). Furthermore, in nonsquamous NSCLC, patients with and without actionable genomic alterations had better PFS, OS, and ORR with Dato-DXd. Conversely, with docetaxel, patients with actionable genomic alterations had reduced efficacy outcomes compared with patients without.

Metastatic NSCLC has historically been difficult to treat, especially in patients who progress after immunotherapy or targeted therapies.4-7 Although not the only option, docetaxel has been the foundation of second-line treatment for metastatic NSCLC for over two decades26; however, it is associated with modest clinical benefit at the cost of substantial toxicity.8,9,26-29 The REVEL trial that evaluated the addition of ramucirumab to docetaxel is the only study to date to show improved combinatorial activity over docetaxel alone (median PFS, 4.5 v 3.0 months; ORR, 23% v 14% [total population]; median OS, 11.1 v 9.7 months in patients with nonsquamous disease).27 Other studies assessing novel therapeutic approaches have failed to demonstrate benefit over docetaxel, including SAPPHIRE (sitravatinib plus nivolumab),10 CONTACT-01 (atezolizumab plus cabozantinib),11 and LEAP-008 (lenvatinib with or without pembrolizumab).12 More recently, EVOKE-01, evaluating sacituzumab govitecan (a TROP2-directed antibody–drug conjugate with a plasma-labile linker30) in a similar NSCLC population, failed to meet its primary end point of improved OS compared with docetaxel, with no improvement in PFS or ORR compared with docetaxel.31 These results highlight the challenges of treating this patient population and the need for more effective and tolerable treatment options for patients who progress after first-line therapy.

The overall safety profile of Dato-DXd was generally favorable compared with docetaxel. Despite the longer treatment duration, there were fewer grade ≥3 TRAEs, serious adverse events, dose reductions, and discontinuations with Dato-DXd. Treatment interruptions were more frequent with Dato-DXd than with docetaxel. Stomatitis and nausea were more frequent with Dato-DXd than with docetaxel, whereas the incidence of diarrhea and hematologic disorders was more frequent with docetaxel. Stomatitis/oral mucositis and ocular surface events are adverse events of special interest for Dato-DXd.16 In TROPION-Lung01, prophylaxis for stomatitis and ocular surface events was recommended. ILD is a known risk for deruxtecan-containing antibody–drug conjugates,32 and management guidelines are in place.16 Most patients who experienced ILD/pneumonitis discontinued treatment per protocol. Some high-grade events and deaths were observed, highlighting the need for continuous education regarding early detection, management, and close monitoring to reduce the risk of serious outcomes. ILD and NSCLC share common risk factors33; of note, a higher incidence of fatal ILD events was observed in patients with squamous histology, which might have been driven by the older age, higher burden of smoking history, and comorbidities that are typical of this patient population.34 Analysis of factors contributing to increased risk of ILD in patients treated with Dato-DXd is ongoing. Overall, the safety profile of Dato-DXd was as expected,14 with no new safety signals observed.

The open-label study design is a limitation of this trial. While a slight imbalance in pretreatment dropout rates was observed (1% in the Dato-DXd arm v 5% in the docetaxel arm), it is unlikely that this affected the overall study outcomes.

In conclusion, Dato-DXd showed statistical superiority over docetaxel in reducing disease progression in patients with NSCLC after first-line therapy; clinically meaningful PFS benefit was observed in patients with nonsquamous disease. OS, the second dual primary end point, was not significantly prolonged with Dato-DXd compared with docetaxel although a numerical improvement was seen. The overall efficacy and tolerability profile supports Dato-DXd as a potential new therapeutic option in patients with nonsquamous NSCLC who are eligible for subsequent therapy.

ACKNOWLEDGMENT

The authors thank the patients, their families, and all investigators involved in the TROPION-Lung01 study. Medical writing support was provided by Lorna Forse, PhD, and Michael Howell, PhD, and editorial support was provided by Jess Fawcett, BSc, all of Core (a division of Prime, London, UK), supported by Daiichi Sankyo, Inc according to Good Publication Practice guidelines. A full list of the TROPION-Lung01 principal investigators is presented in Appendix Table A1.

APPENDIX 1. Supplemental Information for TROPION-Lung01 Dato-DXd in NSCLC

Statistical Methods

This study had four random assignment stratification factors: actionable genomic alteration (present v absent), histology (squamous v nonsquamous), treatment with PD-1/PD-L1 immunotherapy in the last line (yes v no), and geographical region (United States/Japan/Western Europe v the rest of the world). Because of the small sample size within some strata, actionable genomic alterations and most immediate previous therapy including with PD-1/PD-L1 were removed from the stratified analyses.

Adjudication Committee

An external, independent interstitial lung disease (ILD) Adjudication Committee has been established for the datopotamab deruxtecan (Dato-DXd) clinical program for the purpose of adjudicating all events of potential ILD/pneumonitis. The ILD adjudication process is always independent of trial investigators and is blinded for randomized controlled trials to avoid any source of bias.

The adjudication committee determined each potential ILD event with regard to whether it was ILD and whether it was related to the study drug (regardless of the determination made by the investigator) and decided grades for the events that the adjudication committee considered to be treatment-related. All patients with a reported preferred term for ILD (defined in the ILD Adjudication Committee Charter) that would trigger adjudication for a potential ILD event were determined in a similar manner. Protocol-defined on-treatment death in any patient who experienced a potential ILD event was also adjudicated as to whether death was due to ILD. Off-treatment deaths in patients who experienced an event of adjudicated drug-related ILD could also be adjudicated if deemed necessary.

As a result of the adjudication process, the ILD Adjudication Committee could potentially identify ILD/pneumonitis cases which differ from the assessment of study investigators.

FIG A1.

FIG A1.

Study design of TROPION-Lung01. Pretreated patients with advanced or metastatic NSCLC received Dato-DXd 6 mg/kg IV once every 3 weeks or docetaxel 75 mg/m2 IV once every 3 weeks. aFor patients with actionable genomic alterations, previously treated with one to two lines of approved alteration-targeted therapy, with platinum-based chemotherapy as the only previous line of cytotoxic therapy, with or without not more than one anti–PD-1/PD-L1 monoclonal antibody alone or in combination with a cytotoxic agent. For patients without actionable genomic alterations, previously treated with platinum-based chemotherapy and anti–PD-1/PD-L1 immunotherapy, either in combination as the only previous line of therapy or sequentially as the only two previous lines of therapy. For all patients, no previous docetaxel was permitted. bPatients with known KRAS mutations, in the absence of any driver genomic alterations, were eligible and had to meet previous therapy requirements for patients without actionable genomic alterations. cDay 1 of each 3-week cycle. dRadiographic disease progression, clinical progression, death, unacceptable toxicity, loss to follow-up, or withdrawal of patient consent. ePer RECIST v1.1. fAssessed by BICR and investigator per RECIST v1.1. BICR, blinded independent central review; CR, complete response; Dato-DXd, datopotamab deruxtecan; DCR, disease control rate; DOR, duration of response; ECOG PS, Eastern Cooperative Oncology Group performance status; NSCLC, non–small cell lung cancer; ORR, objective response rate; OS, overall survival; PFS, progression-free survival; PR, partial response; SD, stable disease; TTR, time to response.

TABLE A1.

List of Investigators

Country, Study Site Investigator
Argentina
 Sanatorio Parque Gaston Lucas Martinengo
 CER San Juan Juan Puig
Australia
 Southern Medical Day Care Centre Daniel Brungs
 Blacktown Hospital Bo Gao
 Westmead Hospital Adnan Nagria
 Flinders Medical Centre Chris Karapetis
 Austin Hospital Sagun Parakh
 Macquarie University Hospital John Park
Belgium
 Centre Hospitalier Jolimont-Lobbes Gaetan Catala
 Centre Hospitalier de l’Ardenne (CHA) Frederic Forget
 CHU UCL Namur Sebahat Ocak
Canada
 Cross Cancer Institute Naveen Basappa
 University Health Network Princess MArgaret Cancer Centre Geoffrey Liu
 Sunnybrook Health Sciences Centre Ines Menjak
 McGill University Health Centre (MUHC)–Glen Site and MUHC Research Institute Benjamin Shieh
China
 Shanghai Chest Hospital Shun Lu
 West China Hospital, Sichuan University Feng Luo
 Jiamusi Tuberculosis Hospital (Jiamusi Cancer Hospital) Hongmei Sun
 Fudan University Shanghai Cancer Center Jialei Wang
 The First Affiliated Hospital of Xi'an Jiaotong University Yu Yao
Czech Republic
 Všeobecná Fakultní Nemocnice VFN Milada Zemanova
France
 Hôpital Foch Jaafar Bennouna
 Institut Curie Nicolas Girard
 APHM—Hôpital Nord Laurent Greillier
 CHU de Poitiers Pôle Régional de Cancérologie Corinne Lamour
 Hôpital Pontchaillou Herve Lena
 Les Hôpitaux Universitaires de Strasbourg Céline Mascaux
 CHU Toulouse Hôpital Larrey Julien Mazieres
 Centre Hospitalier Universitaire de Grenoble Denis Moro-Sibilot
 Centre Léon Bérard Maurice Pérol
 University Hospital of Nantes Elvire Pons-Tostivint
 Hôpital Jean Minjoz Virginie Westeel
Germany
 IKF Krankenhaus Nordwest Akin Atmaca
 Universitätsklinikum Freiburg Christine Greil
 Asklepios Fachkliniken München-Gauting Niels Reinmuth
 Klinikverbund Allgäu Christian Schumann
 Universitätsklinik Giessen und Marburg Thomas Wehler
 Universität zu Köln—Uniklinik Köln Juergen Wolf
Hong Kong
 Queen Mary Hospital James Ho
Hungary
 Szent Borbála Kórház Csaba Bocskei
Italy
 Istituti Fisioterapici Ospitalieri (IFO)—Istituto Regina Elena Federico Cappuzzo
 IRCCS Istituto Europeo di Oncologia Filippo de Marinis
 Fondazione IRCCS Istituto Nazionale dei Tumori Claudia Proto
 ASL 3 Genovese Oncologia Medica Villa Scassi Manlio Mencoboni
 Azienda Ospedaliero-Universitaria San Luigi Gonzaga Silvia Novello
 Azienda Ospedaliero-Universitaria Policlinico S. Orsola-Malpighi Stefania Salvagni
 Azienda Ospedaliero Universitaria Policlinico “G. Rodolico—San Marco” Hector Soto Parra
Japan
 Osaka City General Hospital Haruko Daga
 National Cancer Center Hospital Yasushi Goto
 Kindai University Hospital Hidetoshi Hayashi
 The Cancer Institute Hospital of JFCR Satoru Kitazono
 National Cancer Center Hospital East Kiyotaka Yoh
 Shizuoka Cancer Center Ryo Ko
 Fujita Health University Hospital Masashi Kondo
 National Hospital Organization Shikoku Cancer Center Toshiyuki Kozuki
 Kansai Medical University Hospital Takayasu Kurata
 Saitama Cancer Center Hideaki Mizutani
 Okayama University Hospital Kadoaki Ohashi
 National Hospital Organization Hokkaido Cancer Center Satoshi Oizumi
 Kyushu University Hospital Isamu Okamoto
 Tokushima University Hospital Satoshi Sakaguchi
 Kyoto University Hospital Hiroaki Ozasa
 Sendai Kousei Hospital Shunichi Sugawara
 Kanazawa University Hospital Yuichi Tambo
 Osaka International Cancer Institute Motohiro Tamiya
 Niigata Cancer Center Hospital Hiroshi Tanaka
 Kyushu University Hospital Isamu Okamoto
Mexico
 San Peregrino Cancer Center Froylan Lopez-Lopez
 Hospital Civil de Guadalajara Fray Antonio Alcalde Francisco Javier Ramirez Godinez
 Servicios de Oncología Medica Integral, S.A. de C.V. ONCARE Jeronimo Rafael Rodriguez Cid
The Netherlands
 Erasmus MC Robin Cornelissen
 St Jansdal Ziekenhuis Steven Gans
 Isala Klinieken Jos Stigt
Poland
 Maria Skłodowska-Curie National Research Institute of Oncology Dariusz Kowalski
 Szpital Specjalistyczny w Prabutach Sp. Z o.o. Anna Lowczak
 Samodzielny Publiczny Szpital Kliniczny Nr 4 w Lublinie Janusz Milanowski
 II Klinika Chorób Płuc i Gruźlicy Robert Mróz
 Med Polonia Sp. Z o.o. Rodryg Ramlau
Puerto Rico
 FDI Clinical Research Mirelis Acosta-Rivera
Republic of Korea
 Samsung Medical Center Myung-Ju Ahn
 Kyungpook National University Chilgok Hospital Yee Soo Chae
 Yonsei University Health System—Severance Hospital Min Hee Hong
 The Catholic University of Korea Seoul St Mary's Hospital Jin-Hyoung Kang
 Asan Medical Center Sang-We Kim
 Seoul National University Boramae Medical Center Jin-Soo Kim
 Seoul National University Bundang Hospital Se Hyun Kim
 Chungbuk National University Hospital Ki Hyeong Lee
 Kangbuk Samsung Hospital Yun Gyoo Lee
 The Catholic University of Korea St Vincent's Hospital Byoung Yong Shim
Russia
 University Headache Clinic LLC Evgeniy Ledin
 VitaMed LLC Elena Poddubskaya
Singapore
 Icon Cancer Centre Farrer Park Boon Yeow Daniel Chan
 National Cancer Centre Singapore Amit Jain
 OncoCare Cancer Centre (Gleneagles Medical Centre) Chee Seng Tan
Spain
 Complejo Hospitalario Universitario de Ourense Maria Carmen Areses
 Hospital Regional Universitario de Málaga Manuel Cobo
 Hospital Universitario Fundación Jiménez Díaz Manuel Domine
 Hospital Universitari Vall d’Hebron Enriqueta Felip
 Hospital Universitario de Valme José Fuentes Pradera
 Hospital Clínico Universitario Lozano Blesa Dolores Isla
 Hospital Universitari i Politècnic La Fe Oscar Juan Vidal
 Hospital de la Santa Creu i Sant Pau Margarita Majem
 Hospital Universitario 12 de Octubre Luis Paz-Ares
 Hospital Universitario Puerta de Hierro Majadahonda Mariano Provencio
 Hospital Clínic i Provincial de Barcelona Noemi Reguart
 Hospital Universitario Virgen Macarena David Vicente Baz
Switzerland
 Inselspital, Universitätsspital Bern Ferdinando Cerciello
 Kantonsspital St Gallen Martin Früh
Taiwan
 Chang Gung Medical Foundation Linkou Chang Gung Memorial Hospital Wen-Cheng Chang
 Chung Shan Medical University Hospital Gee-Chen Chang
 Chi Mei Medical Center Wen-Tsung Huang
 National Cheng Kung University Hospital Chien-Chung Ling
 E-Da Hospital Yu-Feng Wei
 Taichung Veterans General Hospital Tsung-Ying Yang
United Kingdom
 University College Hospital Tanya Ahmad
 The Christie Hospital Fabio Gomes
 The James Cook University Hospital Talal Mansy
United States
 University Hospitals Cleveland Medical Center Debora Bruno
 Hematology/Oncology Clinic, American Oncology Network Michael Castine
 Astera Cancer Care Bruno Fang
 University of Chicago Marina Garassino
 University of Virginia Health System Richard Hall
 Montefiore Medical Center Balazs Halmos
 Optum Care Cancer Center Khawaja Jahangir
 Sarah Cannon Research Institute Melissa Johnson
 Orlando Health Tirrell Johnson
 Ironwood Cancer & Research Centers Sujith Kalmadi
 St Joseph Heritage Healthcare William Lawler
 University of California, Los Angeles Aaron Lisberg
 Fort Wayne Medical Oncology and Hematology Ahad Sadiq
 Dana-Farber Cancer Institute Jacob Sands
 Avera Cancer Institute Benjamin Solomon
 Northwest Medical Specialties Andrea Veatch

Myung-Ju Ahn

Honoraria: AstraZeneca, Lilly, MSD, TAKEDA, Amgen, Merck Serono, YUHAN, Daiichi Sankyo/AstraZeneca

Consulting or Advisory Role: AstraZeneca, Lilly, MSD, TAKEDA, Alpha Pharmaceutical, Amgen, Merck Serono, Pfizer, YUHAN, Arcus Ventures, Daiichi Sankyo/AstraZeneca

Research Funding: YUHAN

Kentaro Tanaka

Honoraria: AstraZeneca, Bristol Myers Squibb/Ono Pharmaceutical, MSD, Chugai/Roche, Merck, Daiichi Sankyo/UCB Japan, Pfizer, Lilly Japan, Takeda, Novartis, Kyowa Kirin

Consulting or Advisory Role: Pfizer

Luis Paz-Ares

Leadership: ALTUM Sequencing, Stab Therapeutics

Stock and Other Ownership Interests: Altum Sequencing, Stab Therapeutics

Honoraria: Roche/Genentech, Lilly, Pfizer, Bristol Myers Squibb, MSD, AstraZeneca, Merck Serono, PharmaMar, Novartis, Amgen, Sanofi, Bayer, Takeda, Mirati Therapeutics, Daiichi Sankyo, BeiGene, GSK, Janssen, Medscape, Regeneron, Boehringer Ingelheim

Consulting or Advisory Role: Lilly, MSD, Roche, Pharmamar, Merck, AstraZeneca, Novartis, Amgen, Pfizer, Sanofi, Bayer, BMS, Mirati Therapeutics, GSK, Janssen, Takeda, Regeneron, AbbVie

Speakers' Bureau: MSD Oncology, BMS, Roche/Genentech, Pfizer, Lilly, AstraZeneca, Merck Serono

Research Funding: BMS (Inst), AstraZeneca (Inst), PharmaMar (Inst), MSD (Inst), Pfizer (Inst)

Other Relationship: Novartis, Ipsen, Pfizer, SERVIER, Sanofi, Roche, Amgen, Merck, Roche

Robin Cornelissen

Honoraria: Roche, Pfizer, Spectrum Pharmaceuticals, Bristol Myers Squibb/Pfizer, MSD Oncology

Consulting or Advisory Role: MSD

Nicolas Girard

Employment: AstraZeneca

Consulting or Advisory Role: Roche, Lilly, AstraZeneca, Novartis, Pfizer, Bristol Myers Squibb, MSD, Takeda, Janssen, Sanofi, AMGEN, Gilead Sciences, BeiGene, AbbVie, Daiichi Sankyo/AstraZeneca, LEO Pharma, Ipsen

Research Funding: Roche (Inst), AstraZeneca (Inst), BMS (Inst), MSDavenir (Inst)

Travel, Accommodations, Expenses: Roche, Janssen Oncology, Janssen Oncology

Elvire Pons-Tostivint

Consulting or Advisory Role: AstraZeneca, Sanofi Pasteur, Takeda, Daiichi Sankyo/AstraZeneca, Roche, Bristol Myers Squibb Foundation, Janssen

Research Funding: AstraZeneca (Inst)

Travel, Accommodations, Expenses: AstraZeneca, Takeda, Pfizer, Sanofi, Daiichi Sankyo/AstraZeneca

David Vicente Baz

Honoraria: AstraZeneca

Consulting or Advisory Role: Bristol Myers Squibb, MSD Oncology, Roche/Genentech, Pfizer, AstraZeneca, Boehringer Ingelheim, Gilead/Forty Seven, Novartis, Daiichi Sankyo/AstraZeneca

Travel, Accommodations, Expenses: AstraZeneca

Shunichi Sugawara

Honoraria: AstraZeneca, Chugai Pharma, Nippon Boehringer Ingelheim, Taiho Pharmaceutical, Pfizer, Lilly, Novartis, Bristol Myers Squibb, Ono Pharmaceutical, MSD K.K, Kyowa Kirin, Takeda, Nippon Kayaku, Merck, Amgen, Thermo Fisher Scientific, Eisai, Sysmex

Research Funding: MSD K.K (Inst), AstraZeneca (Inst), Chugai Pharma (Inst), Daiichi Sankyo (Inst), Bristol Myers Squibb (Inst), Ono Pharmaceutical (Inst), Anheart Therapeutics (Inst), AbbVie (Inst), Nippon Boehringer Ingelheim (Inst), Parexel International (Inst), Amgen (Inst), Taiho Pharmaceutical (Inst), Accerise (Inst), A2 Healthcare (Inst), EPS Corporation (Inst), Syneos Health (Inst), PPD-SNBL (Inst)

Manuel Cobo

Consulting or Advisory Role: Novartis, AstraZeneca, Boehringer-Ingelheim, Roche, BMS, Lilly, MSD, Takeda, Phyzer, Kyowa, Sanofi, Jansen

Speakers' Bureau: Novartis, AstraZeneca, Boehringer-Ingelheim, Roche, BMS, Lilly, MSD, Takeda, Kyowa, Pierre-fabre, Novocure, Sanofi, Jansen

Maurice Pérol

This author is a Journal of Clinical Oncology Clinical Board Member. Journal policy recused the author from having any role in the peer review of this manuscript.

Consulting or Advisory Role: Lilly, Roche/Genentech, Pfizer, AstraZeneca, Merck Sharp & Dohme, Bristol Myers Squibb, Novartis, Amgen, Takeda, Sanofi, GSK, Janssen Oncology, IPSEN, Eisai, Novocure, Daiichi Sankyo, Gilead Sciences

Research Funding: Takeda (Inst)

Travel, Accommodations, Expenses: AstraZeneca, Roche, Bristol Myers Squibb, Merck Sharp & Dohme, Pfizer, Takeda, Chugai Pharma

Céline Mascaux

Honoraria: Roche, AstraZeneca, Kephren, Bristol Myers Squibb, Pfizer, Sanofi, MSD, Takeda, Janssen, Amgen, Daiichi Sankyo

Consulting or Advisory Role: Roche, Sanofi, Takeda, Pfizer, Bristol Myers Squibb, MSD, AstraZeneca, Kephren, AMGEN, Janssen, Daiichi Sankyo

Travel, Accommodations, Expenses: MSD, Roche, Janssen, Takeda, AstraZeneca

Satoru Kitazono

Honoraria: AstraZeneca, Chugai Pharma, Ono Pharmaceutical, Pfizer

Hidetoshi Hayashi

Honoraria: Ono Pharmaceutical, Bristol Myers Squibb Japan, Lilly, AstraZeneca Japan, Chugai Pharma, Pfizer, Novartis, Amgen, Daiichi Sankyo/UCB Japan, Guardant Health, Takeda, MSD K.K, Janssen, Sysmex, 3H Clinical Trial, Merck, Nippon Boehringer Ingelheim

Consulting or Advisory Role: AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Daiichi Sankyo/UCB Japan, Janssen, Novocure K.K, AbbVie

Research Funding: IQVIA Services JAPAN K.K (Inst), Syneos Health (Inst), EPS Holdings (Inst), Nippon Kayaku (Inst), Takeda (Inst), MSD K.K (Inst), Amgen (Inst), Taiho Pharmaceutical (Inst), Bristol Myers Squibb Company (Inst), Janssen (Inst), CMIC CO., Ltd (Inst), Pfizer (Inst), Labcorp Drug Development (Inst), Kobayashi Pharmaceutical (Inst), Pfizer (Inst), AbbVie (Inst), A2 Healthcare (Inst), Lilly Japan (Inst), Medpace Japan KK (Inst), Eisai (Inst), EPS Holdings (Inst), Shionogi (Inst), Otsuka (Inst), GSK K.K (Inst), Sanofi (Inst), Chugai Pharma (Inst), Nippon Boehringer Ingelheim (Inst), SRL Medisearch Inc (Inst), PRA Health Sciences Inc (Inst), Astellas Pharma (Inst), Ascent Development Services (Inst), Eisai (Inst), Bayer Yakuhin (Inst), AstraZeneca Japan (Inst), Daiichi Sankyo Co., Ltd (Inst), Novartis (Inst), Merck (Inst), Kyowa Kirin Co., Ltd (Inst)

Patents, Royalties, Other Intellectual Property: Sysmex

Min Hee Hong

Stock and Other Ownership Interests: GI cell, GI biome

Honoraria: AstraZeneca, Merck, Roche

Consulting or Advisory Role: AstraZeneca, Merck, Roche, Yuhan

Research Funding: Yuhan

Enriqueta Felip

Consulting or Advisory Role: AbbVie, Amgen, AstraZeneca, Bayer, BeiGene, Boehringer Ingelheim, Bristol Myers Squibb, Lilly, Roche, Gilead Sciences, GSK, Janssen, Merck Serono, Merck Sharp & Dohme, Novartis, Peptomyc, Pfizer, Regeneron, Sanofi, Takeda, Genmab

Speakers' Bureau: Amgen, AstraZeneca, Bristol Myers Squibb, Daiichi Sankyo, Lilly, Roche, Genentech, Janssen, Medical Trends, Medscape, Merck Serono, Merck Sharp & Dohme, Peervoice, Pfizer, Sanofi, Takeda, Touch Oncology

Travel, Accommodations, Expenses: AstraZeneca, Janssen, Roche

Other Relationship: GRIFOLS

Uncompensated Relationships: Member of the Scientific Advisory Committee - Hospital Universitari Parc Taulí; SEOM (Sociedad Española de Oncología Médica), President from 2021-2023; “ETOP IBCSG Partners” Member of the Scientific Committee

Richard Hall

Consulting or Advisory Role: Jazz Pharmaceuticals, Takeda, Regeneron

Research Funding: Merck Sharp & Dohme (Inst), AstraZeneca/MedImmune (Inst), Mirati Therapeutics (Inst), Lilly (Inst), Daiichi Sankyo/Lilly (Inst), Genentech (Inst), Regeneron (Inst)

Oscar Juan-Vidal

Honoraria: AstraZeneca/MedImmune, Takeda, Janssen, Amgen

Consulting or Advisory Role: Lilly, Takeda, AstraZeneca Spain, Janssen Oncology, Roche/Genentech, Merck

Research Funding: AstraZeneca Spain (Inst)

Travel, Accommodations, Expenses: Takeda, AstraZeneca/MedImmune, Pfizer, Roche/Genentech

Daniel Brungs

Consulting or Advisory Role: MSD

Travel, Accommodations, Expenses: MSD Oncology

Shun Lu

This author is a Consultant Editor for Journal of Clinical Oncology. Journal policy recused the author from having any role in the peer review of this manuscript.

Leadership: Innovent Biologics, Inc

Consulting or Advisory Role: AstraZeneca, Pfizer, Boehringer Ingelheim, Hutchison MediPharma, Simcere, Zai Lab, GenomiCare, Yuhan, Roche, Menarini, InventisBio Co. Ltd

Speakers' Bureau: AstraZeneca, Roche, Hansoh Pharma, Hengrui Therapeutics

Research Funding: AstraZeneca (Inst), Hutchison MediPharma (Inst), BMS (Inst), Hengrui Therapeutics (Inst), BeiGene (Inst), Roche (Inst), Hansoh (Inst), Lilly Suzhou Pharmaceutical Co (Inst)

Marina Garassino

Honoraria: MSD Oncology, AstraZeneca/MedImmune, GSK, Takeda, Roche, Bristol Myers Squibb, Daiichi Sankyo/AstraZeneca, Regeneron, Pfizer, Blueprint Pharmaceutic, Novartis, Sanofi/Aventis, Medscape, Oncohost, Revolution Medicines

Consulting or Advisory Role: Bristol Myers Squibb, MSD, AstraZeneca, Novartis, Takeda, Roche, Sanofi, Celgene, Daiiki Sankyo, Pfizer, Seagen, Lilly, GSK, Bayer, Blueprint Medicines, Janssen, Regeneron, Bayer, AbbVie, Mirati Therapeutics, Merck, Boehringer Ingelheim, Blueprint Medicines, Abion, Gilead Sciences

Speakers' Bureau: AstraZeneca, MSD Oncology, Merck, Mirati Therapeutics, Daiichi Sankyo/AstraZeneca

Research Funding: Bristol Myers Squibb (Inst), MSD (Inst), Roche/Genentech (Inst), AstraZeneca/MedImmune (Inst), AstraZeneca (Inst), Pfizer (Inst), GSK (Inst), Novartis (Inst), Merck (Inst), Incyte (Inst), Takeda (Inst), Spectrum Pharmaceuticals (Inst), Blueprint Medicines (Inst), Lilly (Inst), Ipsen (Inst), Janssen (Inst), Exelixis (Inst), MedImmune (Inst), Sanofi (Inst), Pfizer (Inst), Amgen (Inst)

Travel, Accommodations, Expenses: Pfizer, Roche, AstraZeneca, Merck

Uncompensated Relationships: Merck

Michael Chargualaf

Employment: Daiichi Sankyo Inc

Yong Zhang

Employment: Daiichi Sankyo Inc

Stock and Other Ownership Interests: Daiichi Sankyo

Travel, Accommodations, Expenses: Daiichi Sankyo

Paul Howarth

Employment: Daiichi Sankyo

Deise Uema

Employment: Bayer, Daiichi Sankyo Inc

Aaron Lisberg

Employment: Boston Scientific

Stock and Other Ownership Interests: Boston Scientific

Consulting or Advisory Role: AstraZeneca, Leica Biosystems, Bristol Myers Squibb, Novocure, Pfizer, Jazz Pharmaceuticals, MorphoSys, Lilly, Oncocyte, Novartis, Sanofi/Regeneron, Janssen Oncology, Sanofi, G1 Therapeutics, Molecular Axiom, Amgen, Daiichi Sankyo Nordics, Bayer, IQVIA

Research Funding: Daiichi Sankyo, AstraZeneca, Calithera Biosciences, Dracen, WindMIL, Duality Biologics, eFFECTOR Therapeutics

Patents, Royalties, Other Intellectual Property: Pending Patents U.S. Provisional Patent Application No. 63/527,899

Jacob Sands

Honoraria: Pfizer

Consulting or Advisory Role: AstraZeneca, Medtronic, Daiichi Sankyo/UCB Japan, Sanofi, Boehringer Ingelheim, PharmaMar, Guardant Health, AbbVie, Gilead Sciences, Lilly, G1 Therapeutics

Research Funding: Amgen, Harpoon

Travel, Accommodations, Expenses: AstraZeneca

No other potential conflicts of interest were reported.

See accompanying Editorial, p. 241

PRIOR PRESENTATION

Presented in part at the European Society for Medical Oncology Congress, Madrid, Spain, October 20-24, 2023.

SUPPORT

Supported by Daiichi Sankyo, Inc. In July 2020, AstraZeneca entered into a global development and commercialization collaboration agreement with Daiichi Sankyo for Dato-DXd.

CLINICAL TRIAL INFORMATION

NCT04656652 (TROPION-Lung01)

*

A.L. and J.S. contributed equally to this work.

Contributor Information

Collaborators: Gaston Lucas Martinengo, Juan Puig, Daniel Brungs, Bo Gao, Adnan Nagria, Chris Karapetis, Sagun Parakh, John Park, Gaetan Catala, Frederic Forget, Sebahat Ocak, Naveen Basappa, Geoffrey Liu, Ines Menjak, Benjamin Shieh, Shun Lu, Feng Luo, Hongmei Sun, Jialei Wang, Yu Yao, Milada Zemanova, Jaafar Bennouna, Nicolas Girard, Laurent Greillier, Corinne Lamour, Herve Lena, Céline Mascaux, Julien Mazieres, Denis Moro-Sibilot, Maurice Pérol, Elvire Pons-Tostivint, Virginie Westeel, Akin Atmaca, Christine Greil, Niels Reinmuth, Christian Schumann, Thomas Wehler, Juergen Wolf, James Ho, Csaba Bocskei, Federico Cappuzzo, Filippo de Marinis, Claudia Proto, Manlio Mencoboni, Silvia Novello, Stefania Salvagni, Hector Soto Parra, Haruko Daga, Yasushi Goto, Hidetoshi Hayashi, Satoru Kitazono, Kiyotaka Yoh, Ryo Ko, Masashi Kondo, Toshiyuki Kozuki, Takayasu Kurata, Hideaki Mizutani, Kadoaki Ohashi, Satoshi Oizumi, Isamu Okamoto, Satoshi Sakaguchi, Hiroaki Ozasa, Shunichi Sugawara, Yuichi Tambo, Motohiro Tamiya, Hiroshi Tanaka, Isamu Okamoto, Froylan Lopez-Lopez, Francisco Javier Ramirez Godinez, Jeronimo Rafael Rodriguez Cid, Robin Cornelissen, Steven Gans, Jos Stigt, Dariusz Kowalski, Anna Lowczak, Janusz Milanowski, Robert Mróz, Rodryg Ramlau, Mirelis Acosta-Rivera, Myung-Ju Ahn, Yee Soo Chae, Min Hee Hong, Jin-Hyoung Kang, Sang-We Kim, Jin-Soo Kim, Se Hyun Kim, Ki Hyeong Lee, Yun Gyoo Lee, Byoung Yong Shim, Evgeniy Ledin, Elena Poddubskaya, Boon Yeow Daniel Chan, Amit Jain, Chee Seng Tan, Maria Carmen Areses, Manuel Cobo, Manuel Domine, Enriqueta Felip, José Fuentes Pradera, Dolores Isla, Oscar Juan Vidal, Margarita Majem, Luis Paz-Ares, Mariano Provencio, Noemi Reguart, David Vicente Baz, Ferdinando Cerciello, Martin Früh, Wen-Cheng Chang, Gee-Chen Chang, Wen-Tsung Huang, Chien-Chung Ling, Yu-Feng Wei, Tsung-Ying Yang, Tanya Ahmad, Fabio Gomes, Talal Mansy, Debora Bruno, Michael Castine, Bruno Fang, Marina Garassino, Richard Hall, Balazs Halmos, Khawaja Jahangir, Melissa Johnson, Tirrell Johnson, Sujith Kalmadi, William Lawler, Aaron Lisberg, Ahad Sadiq, Jacob Sands, Benjamin Solomon, and Andrea Veatch

DATA SHARING STATEMENT

A data sharing statement provided by the authors is available with this article at DOI https://doi.org/10.1200/JCO-24-01544.

AUTHOR CONTRIBUTIONS

Conception and design: Luis Paz-Ares, David Vicente Baz, Min Hee Hong, Daniel Brungs, Shun Lu, Michael Chargualaf, Yong Zhang, Deise Uema, Aaron Lisberg, Jacob Sands

Provision of study materials or patients: Myung-Ju Ahn, Kentaro Tanaka, Robin Cornelissen, Nicolas Girard, Shunichi Sugawara, Manuel Cobo, Elena Poddubskaya, Satoru Kitazono, Enriqueta Felip, Richard Hall, Oscar Juan-Vidal, Shun Lu, Marina Garassino, Michael Chargualaf, Aaron Lisberg

Collection and assembly of data: Kentaro Tanaka, Robin Cornelissen, Nicolas Girard, David Vicente Baz, Shunichi Sugawara, Manuel Cobo, Maurice Pérol, Céline Mascaux, Elena Poddubskaya, Satoru Kitazono, Hidetoshi Hayashi, Min Hee Hong, Enriqueta Felip, Richard Hall, Oscar Juan-Vidal, Daniel Brungs, Shun Lu, Marina Garassino, Michael Chargualaf, Yong Zhang, Deise Uema, Aaron Lisberg, Jacob Sands

Data analysis and interpretation: Myung-Ju Ahn, Kentaro Tanaka, Luis Paz-Ares, Robin Cornelissen, Nicolas Girard, Elvire Pons-Tostivint, David Vicente Baz, Shunichi Sugawara, Manuel Cobo, Maurice Pérol, Hidetoshi Hayashi, Min Hee Hong, Enriqueta Felip, Richard Hall, Oscar Juan-Vidal, Daniel Brungs, Shun Lu, Marina Garassino, Michael Chargualaf, Yong Zhang, Paul Howarth, Deise Uema, Aaron Lisberg

Manuscript writing: All authors

Final approval of manuscript: All authors

Accountable for all aspects of the work: All authors

AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST

Datopotamab Deruxtecan Versus Docetaxel for Previously Treated Advanced or Metastatic Non–Small Cell Lung Cancer: The Randomized, Open-Label Phase III TROPION-Lung01 Study

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/jco/authors/author-center.

Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).

Myung-Ju Ahn

Honoraria: AstraZeneca, Lilly, MSD, TAKEDA, Amgen, Merck Serono, YUHAN, Daiichi Sankyo/AstraZeneca

Consulting or Advisory Role: AstraZeneca, Lilly, MSD, TAKEDA, Alpha Pharmaceutical, Amgen, Merck Serono, Pfizer, YUHAN, Arcus Ventures, Daiichi Sankyo/AstraZeneca

Research Funding: YUHAN

Kentaro Tanaka

Honoraria: AstraZeneca, Bristol Myers Squibb/Ono Pharmaceutical, MSD, Chugai/Roche, Merck, Daiichi Sankyo/UCB Japan, Pfizer, Lilly Japan, Takeda, Novartis, Kyowa Kirin

Consulting or Advisory Role: Pfizer

Luis Paz-Ares

Leadership: ALTUM Sequencing, Stab Therapeutics

Stock and Other Ownership Interests: Altum Sequencing, Stab Therapeutics

Honoraria: Roche/Genentech, Lilly, Pfizer, Bristol Myers Squibb, MSD, AstraZeneca, Merck Serono, PharmaMar, Novartis, Amgen, Sanofi, Bayer, Takeda, Mirati Therapeutics, Daiichi Sankyo, BeiGene, GSK, Janssen, Medscape, Regeneron, Boehringer Ingelheim

Consulting or Advisory Role: Lilly, MSD, Roche, Pharmamar, Merck, AstraZeneca, Novartis, Amgen, Pfizer, Sanofi, Bayer, BMS, Mirati Therapeutics, GSK, Janssen, Takeda, Regeneron, AbbVie

Speakers' Bureau: MSD Oncology, BMS, Roche/Genentech, Pfizer, Lilly, AstraZeneca, Merck Serono

Research Funding: BMS (Inst), AstraZeneca (Inst), PharmaMar (Inst), MSD (Inst), Pfizer (Inst)

Other Relationship: Novartis, Ipsen, Pfizer, SERVIER, Sanofi, Roche, Amgen, Merck, Roche

Robin Cornelissen

Honoraria: Roche, Pfizer, Spectrum Pharmaceuticals, Bristol Myers Squibb/Pfizer, MSD Oncology

Consulting or Advisory Role: MSD

Nicolas Girard

Employment: AstraZeneca

Consulting or Advisory Role: Roche, Lilly, AstraZeneca, Novartis, Pfizer, Bristol Myers Squibb, MSD, Takeda, Janssen, Sanofi, AMGEN, Gilead Sciences, BeiGene, AbbVie, Daiichi Sankyo/AstraZeneca, LEO Pharma, Ipsen

Research Funding: Roche (Inst), AstraZeneca (Inst), BMS (Inst), MSDavenir (Inst)

Travel, Accommodations, Expenses: Roche, Janssen Oncology, Janssen Oncology

Elvire Pons-Tostivint

Consulting or Advisory Role: AstraZeneca, Sanofi Pasteur, Takeda, Daiichi Sankyo/AstraZeneca, Roche, Bristol Myers Squibb Foundation, Janssen

Research Funding: AstraZeneca (Inst)

Travel, Accommodations, Expenses: AstraZeneca, Takeda, Pfizer, Sanofi, Daiichi Sankyo/AstraZeneca

David Vicente Baz

Honoraria: AstraZeneca

Consulting or Advisory Role: Bristol Myers Squibb, MSD Oncology, Roche/Genentech, Pfizer, AstraZeneca, Boehringer Ingelheim, Gilead/Forty Seven, Novartis, Daiichi Sankyo/AstraZeneca

Travel, Accommodations, Expenses: AstraZeneca

Shunichi Sugawara

Honoraria: AstraZeneca, Chugai Pharma, Nippon Boehringer Ingelheim, Taiho Pharmaceutical, Pfizer, Lilly, Novartis, Bristol Myers Squibb, Ono Pharmaceutical, MSD K.K, Kyowa Kirin, Takeda, Nippon Kayaku, Merck, Amgen, Thermo Fisher Scientific, Eisai, Sysmex

Research Funding: MSD K.K (Inst), AstraZeneca (Inst), Chugai Pharma (Inst), Daiichi Sankyo (Inst), Bristol Myers Squibb (Inst), Ono Pharmaceutical (Inst), Anheart Therapeutics (Inst), AbbVie (Inst), Nippon Boehringer Ingelheim (Inst), Parexel International (Inst), Amgen (Inst), Taiho Pharmaceutical (Inst), Accerise (Inst), A2 Healthcare (Inst), EPS Corporation (Inst), Syneos Health (Inst), PPD-SNBL (Inst)

Manuel Cobo

Consulting or Advisory Role: Novartis, AstraZeneca, Boehringer-Ingelheim, Roche, BMS, Lilly, MSD, Takeda, Phyzer, Kyowa, Sanofi, Jansen

Speakers' Bureau: Novartis, AstraZeneca, Boehringer-Ingelheim, Roche, BMS, Lilly, MSD, Takeda, Kyowa, Pierre-fabre, Novocure, Sanofi, Jansen

Maurice Pérol

This author is a Journal of Clinical Oncology Clinical Board Member. Journal policy recused the author from having any role in the peer review of this manuscript.

Consulting or Advisory Role: Lilly, Roche/Genentech, Pfizer, AstraZeneca, Merck Sharp & Dohme, Bristol Myers Squibb, Novartis, Amgen, Takeda, Sanofi, GSK, Janssen Oncology, IPSEN, Eisai, Novocure, Daiichi Sankyo, Gilead Sciences

Research Funding: Takeda (Inst)

Travel, Accommodations, Expenses: AstraZeneca, Roche, Bristol Myers Squibb, Merck Sharp & Dohme, Pfizer, Takeda, Chugai Pharma

Céline Mascaux

Honoraria: Roche, AstraZeneca, Kephren, Bristol Myers Squibb, Pfizer, Sanofi, MSD, Takeda, Janssen, Amgen, Daiichi Sankyo

Consulting or Advisory Role: Roche, Sanofi, Takeda, Pfizer, Bristol Myers Squibb, MSD, AstraZeneca, Kephren, AMGEN, Janssen, Daiichi Sankyo

Travel, Accommodations, Expenses: MSD, Roche, Janssen, Takeda, AstraZeneca

Satoru Kitazono

Honoraria: AstraZeneca, Chugai Pharma, Ono Pharmaceutical, Pfizer

Hidetoshi Hayashi

Honoraria: Ono Pharmaceutical, Bristol Myers Squibb Japan, Lilly, AstraZeneca Japan, Chugai Pharma, Pfizer, Novartis, Amgen, Daiichi Sankyo/UCB Japan, Guardant Health, Takeda, MSD K.K, Janssen, Sysmex, 3H Clinical Trial, Merck, Nippon Boehringer Ingelheim

Consulting or Advisory Role: AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Daiichi Sankyo/UCB Japan, Janssen, Novocure K.K, AbbVie

Research Funding: IQVIA Services JAPAN K.K (Inst), Syneos Health (Inst), EPS Holdings (Inst), Nippon Kayaku (Inst), Takeda (Inst), MSD K.K (Inst), Amgen (Inst), Taiho Pharmaceutical (Inst), Bristol Myers Squibb Company (Inst), Janssen (Inst), CMIC CO., Ltd (Inst), Pfizer (Inst), Labcorp Drug Development (Inst), Kobayashi Pharmaceutical (Inst), Pfizer (Inst), AbbVie (Inst), A2 Healthcare (Inst), Lilly Japan (Inst), Medpace Japan KK (Inst), Eisai (Inst), EPS Holdings (Inst), Shionogi (Inst), Otsuka (Inst), GSK K.K (Inst), Sanofi (Inst), Chugai Pharma (Inst), Nippon Boehringer Ingelheim (Inst), SRL Medisearch Inc (Inst), PRA Health Sciences Inc (Inst), Astellas Pharma (Inst), Ascent Development Services (Inst), Eisai (Inst), Bayer Yakuhin (Inst), AstraZeneca Japan (Inst), Daiichi Sankyo Co., Ltd (Inst), Novartis (Inst), Merck (Inst), Kyowa Kirin Co., Ltd (Inst)

Patents, Royalties, Other Intellectual Property: Sysmex

Min Hee Hong

Stock and Other Ownership Interests: GI cell, GI biome

Honoraria: AstraZeneca, Merck, Roche

Consulting or Advisory Role: AstraZeneca, Merck, Roche, Yuhan

Research Funding: Yuhan

Enriqueta Felip

Consulting or Advisory Role: AbbVie, Amgen, AstraZeneca, Bayer, BeiGene, Boehringer Ingelheim, Bristol Myers Squibb, Lilly, Roche, Gilead Sciences, GSK, Janssen, Merck Serono, Merck Sharp & Dohme, Novartis, Peptomyc, Pfizer, Regeneron, Sanofi, Takeda, Genmab

Speakers' Bureau: Amgen, AstraZeneca, Bristol Myers Squibb, Daiichi Sankyo, Lilly, Roche, Genentech, Janssen, Medical Trends, Medscape, Merck Serono, Merck Sharp & Dohme, Peervoice, Pfizer, Sanofi, Takeda, Touch Oncology

Travel, Accommodations, Expenses: AstraZeneca, Janssen, Roche

Other Relationship: GRIFOLS

Uncompensated Relationships: Member of the Scientific Advisory Committee - Hospital Universitari Parc Taulí; SEOM (Sociedad Española de Oncología Médica), President from 2021-2023; “ETOP IBCSG Partners” Member of the Scientific Committee

Richard Hall

Consulting or Advisory Role: Jazz Pharmaceuticals, Takeda, Regeneron

Research Funding: Merck Sharp & Dohme (Inst), AstraZeneca/MedImmune (Inst), Mirati Therapeutics (Inst), Lilly (Inst), Daiichi Sankyo/Lilly (Inst), Genentech (Inst), Regeneron (Inst)

Oscar Juan-Vidal

Honoraria: AstraZeneca/MedImmune, Takeda, Janssen, Amgen

Consulting or Advisory Role: Lilly, Takeda, AstraZeneca Spain, Janssen Oncology, Roche/Genentech, Merck

Research Funding: AstraZeneca Spain (Inst)

Travel, Accommodations, Expenses: Takeda, AstraZeneca/MedImmune, Pfizer, Roche/Genentech

Daniel Brungs

Consulting or Advisory Role: MSD

Travel, Accommodations, Expenses: MSD Oncology

Shun Lu

This author is a Consultant Editor for Journal of Clinical Oncology. Journal policy recused the author from having any role in the peer review of this manuscript.

Leadership: Innovent Biologics, Inc

Consulting or Advisory Role: AstraZeneca, Pfizer, Boehringer Ingelheim, Hutchison MediPharma, Simcere, Zai Lab, GenomiCare, Yuhan, Roche, Menarini, InventisBio Co. Ltd

Speakers' Bureau: AstraZeneca, Roche, Hansoh Pharma, Hengrui Therapeutics

Research Funding: AstraZeneca (Inst), Hutchison MediPharma (Inst), BMS (Inst), Hengrui Therapeutics (Inst), BeiGene (Inst), Roche (Inst), Hansoh (Inst), Lilly Suzhou Pharmaceutical Co (Inst)

Marina Garassino

Honoraria: MSD Oncology, AstraZeneca/MedImmune, GSK, Takeda, Roche, Bristol Myers Squibb, Daiichi Sankyo/AstraZeneca, Regeneron, Pfizer, Blueprint Pharmaceutic, Novartis, Sanofi/Aventis, Medscape, Oncohost, Revolution Medicines

Consulting or Advisory Role: Bristol Myers Squibb, MSD, AstraZeneca, Novartis, Takeda, Roche, Sanofi, Celgene, Daiiki Sankyo, Pfizer, Seagen, Lilly, GSK, Bayer, Blueprint Medicines, Janssen, Regeneron, Bayer, AbbVie, Mirati Therapeutics, Merck, Boehringer Ingelheim, Blueprint Medicines, Abion, Gilead Sciences

Speakers' Bureau: AstraZeneca, MSD Oncology, Merck, Mirati Therapeutics, Daiichi Sankyo/AstraZeneca

Research Funding: Bristol Myers Squibb (Inst), MSD (Inst), Roche/Genentech (Inst), AstraZeneca/MedImmune (Inst), AstraZeneca (Inst), Pfizer (Inst), GSK (Inst), Novartis (Inst), Merck (Inst), Incyte (Inst), Takeda (Inst), Spectrum Pharmaceuticals (Inst), Blueprint Medicines (Inst), Lilly (Inst), Ipsen (Inst), Janssen (Inst), Exelixis (Inst), MedImmune (Inst), Sanofi (Inst), Pfizer (Inst), Amgen (Inst)

Travel, Accommodations, Expenses: Pfizer, Roche, AstraZeneca, Merck

Uncompensated Relationships: Merck

Michael Chargualaf

Employment: Daiichi Sankyo Inc

Yong Zhang

Employment: Daiichi Sankyo Inc

Stock and Other Ownership Interests: Daiichi Sankyo

Travel, Accommodations, Expenses: Daiichi Sankyo

Paul Howarth

Employment: Daiichi Sankyo

Deise Uema

Employment: Bayer, Daiichi Sankyo Inc

Aaron Lisberg

Employment: Boston Scientific

Stock and Other Ownership Interests: Boston Scientific

Consulting or Advisory Role: AstraZeneca, Leica Biosystems, Bristol Myers Squibb, Novocure, Pfizer, Jazz Pharmaceuticals, MorphoSys, Lilly, Oncocyte, Novartis, Sanofi/Regeneron, Janssen Oncology, Sanofi, G1 Therapeutics, Molecular Axiom, Amgen, Daiichi Sankyo Nordics, Bayer, IQVIA

Research Funding: Daiichi Sankyo, AstraZeneca, Calithera Biosciences, Dracen, WindMIL, Duality Biologics, eFFECTOR Therapeutics

Patents, Royalties, Other Intellectual Property: Pending Patents U.S. Provisional Patent Application No. 63/527,899

Jacob Sands

Honoraria: Pfizer

Consulting or Advisory Role: AstraZeneca, Medtronic, Daiichi Sankyo/UCB Japan, Sanofi, Boehringer Ingelheim, PharmaMar, Guardant Health, AbbVie, Gilead Sciences, Lilly, G1 Therapeutics

Research Funding: Amgen, Harpoon

Travel, Accommodations, Expenses: AstraZeneca

No other potential conflicts of interest were reported.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

A data sharing statement provided by the authors is available with this article at DOI https://doi.org/10.1200/JCO-24-01544.


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