Improving Gallbladder Cancer Outcomes with Antibody-Based Therapies and Immunological Profiling: A Literature Review
Abstract
1. Introduction
| Trial/NCT | Phase/Setting | Population (n; % GBC) | Experimental Arm | Comparator | Primary Endpoint | Key Efficacy Outcomes | Reference |
|---|---|---|---|---|---|---|---|
| ABC-02/ | Phase III, 1L advanced/metastatic BTC | 410 (149 GBC; 36%) | Cisplatin 25 mg/m2 + gemcitabine 1000 mg/m2 IV D1, D8 Q21d, up to 8 cycles | Gemcitabine 1000 mg/m2 IV D1, D8, D15 Q28d, up to 6 cycles | OS | mOS 11.7 vs. 8.1 mo (HR 0.64; 95% CI 0.52–0.80; p < 0.001); mPFS 8.0 vs. 5.0 mo; ORR 26% | [4] |
| BT22 | Phase II randomized, 1L advanced BTC (Japan) | 84 randomized, 83 treated (32 GBC; 39%) | Cisplatin 25 mg/m2 + gemcitabine 1000 mg/m2 IV D1, D8 Q21d (median 6 cycles) | Gemcitabine 1000 mg/m2 IV D1, D8, D15 Q28d (median 4 cycles) | OS | mOS 11.2 vs. 7.7 mo; mPFS 5.8 vs. 3.7 mo; HR for OS 0.69 (95% CI 0.42–1.13); ORR 19.5% vs. 11.9% | [10] |
| SWOG S1815/ | Phase III, 1L newly diagnosed advanced BTC | 441 (~31% GBC) | Gemcitabine 800 mg/m2 + cisplatin 25 mg/m2 + nab-paclitaxel 100 mg/m2 IV D1, D8 Q21d until PD/toxicity | Gemcitabine 1000 mg/m2 + cisplatin 25 mg/m2 IV D1, D8 Q21d until PD/toxicity | OS | mOS 14.0 vs. 13.6 mo (HR 0.91; 95% CI 0.72–1.14; p = 0.41); primary endpoint not met | [5] |
| TOPAZ-1/ | Phase III randomized, double-blind, placebo-controlled, 1L advanced BTC | 685 (~25% GBC) | Cisplatin 25 mg/m2 + gemcitabine 1000 mg/m2 IV D1, D8 Q21d (≤8 cycles) + durvalumab 1500 mg IV Q3W during chemo, then 1500 mg IV Q4W maintenance until PD | Same chemo + placebo | OS | mOS 12.8 vs. 11.5 mo (HR 0.80; 95% CI 0.66–0.97; p = 0.021); mPFS 7.2 vs. 5.7 mo | [11] |
| KEYNOTE-966/ | Phase III randomized, double-blind, 1L advanced BTC | 1069 (stratified by site: GBC vs. iCCA vs. eCCA; ~22% GBC) | Pembrolizumab 200 mg IV Q3W (≤35 cycles) + gemcitabine 1000 mg/m2 IV D1, D8 Q21d (until PD) + cisplatin 25 mg/m2 IV D1, D8 Q21d (≤8 cycles) | Same chemo + placebo | OS | mOS 12.7 vs. 10.9 mo (HR 0.83; 95% CI 0.72–0.95; one-sided p = 0.0034); mPFS 6.5 vs. 5.6 mo | [12] |
| KEYNOTE-158 + KEYNOTE-028 (pooled BTC cohort)/ | Phase II non-randomized, pretreated advanced BTC, PD-L1+ (≥1% CPS) | 128 BTC pooled (% GBC NR) | Pembrolizumab 200 mg IV Q3W (KN-158) or 10 mg/kg IV Q2W (KN-028) until PD or 24 mo | None | ORR | ORR 5.8–13%; mOS 7.4 mo (KN-158)/5.7 mo (KN-028); responses durable | [13] |
| SWOG S1609 DART (cohort 48)/ | Phase II basket, refractory advanced GBC | 19 (100% GBC) | Nivolumab 240 mg IV Q2W + ipilimumab 1 mg/kg IV Q6W until PD/toxicity | None | ORR | ORR 16% (3/19; 95% CI 5–34); 6-mo PFS 26%; mOS 7.0 mo (95% CI 3.9–19.1) | [14] |
| INTR@PID BTC 047/ | Phase II single-arm, pretreated advanced BTC | 159 (32 GBC; 20.1%) | Bintrafusp alfa 1200 mg IV Q2W until PD/toxicity | None | ORR | ORR 10.7% overall (95% CI 6.5–16.3); mOS 7.6 mo; mPFS 1.8 mo; primary endpoint not met | [15] |
| HERIZON-BTC-01 (cohort 1) | Phase IIb single-arm, pretreated HER2+ advanced BTC | 87 enrolled; 80 in HER2+ cohort 1 (41 GBC; 51%) | Zanidatamab 20 mg/kg IV D1, D15 Q28d until PD/toxicity (median 6 cycles; median treatment duration 5.1 mo) | None | Confirmed ORR | ORR 41.3% (95% CI 30.4–52.8); ORR 51.6% in HER2 IHC 3+ vs. 5.6% in IHC 2+; DoR 12.9 mo; mPFS 5.5 mo | [16] |
| DESTINY-PanTumor02 (BTC cohort)/ | Phase II open-label multicohort, pretreated HER2-expressing solid tumors | 267 enrolled in Part 1; BTC cohort n = 41 (% GBC NR) | T-DXd 5.4 mg/kg IV Q3W until PD/toxicity (median 8.0 cycles; median duration 5.6 mo; 21.7% received ≥18 cycles) | None | ORR | ORR 22.0% in BTC overall; 56.3% in central HER2 IHC 3+ (9/16) vs. 18.8% IHC 2+; mPFS 4.6 mo (7.4 mo IHC 3+); mOS 7.0 mo (12.4 mo IHC 3+) | [17] |
| IMbrave 151/ | Phase II randomized, double-blind, proof-of-concept, 1L advanced BTC | 162 randomized (79 atezo+bev+CisGem; 83 atezo+placebo+CisGem); stratified by anatomical site (iCCA vs. eCCA vs. GBC) | Atezolizumab 1200 mg + bevacizumab 15 mg/kg + cisplatin 25 mg/m2 + gemcitabine 1000 mg/m2 IV Q3W | Atezolizumab + placebo + CisGem | PFS | mPFS 8.3 vs. 7.9 mo (HR 0.67; 95% CI 0.46–0.95); mOS 14.9 vs. 14.6 mo; | [18] |
| GAIN/ | Phase III randomized open-label, perioperative resectable GBC/BTC | Planned 327 (target enrollment) | Neoadjuvant + adjuvant gemcitabine 1000 mg/m2 + cisplatin 25 mg/m2 IV D1, D8 Q21d (3 cycles pre-op + 3 cycles post-op) + surgery | Surgery + adjuvant chemo | OS | Ongoing; final results presented JCO 2025 abstr 4008 | [19] |
| POLCAGB/ | Phase III randomized open-label, locally advanced unresectable GBC | Planned ~138 (recruiting) | Neoadjuvant chemoradiation: gemcitabine + cisplatin + concurrent radiotherapy 45–55 Gy → surgery → adjuvant chemo | Neoadjuvant chemotherapy alone (gemcitabine + cisplatin) → surgery → adjuvant chemo | OS | Interim report shows resectability and pCR feasibility; final pending | [20] |
| BILCAP/ | Phase III randomized open-label, adjuvant resected BTC | 447 (84 GBC; 18.8%) | Capecitabine 1250 mg/m2 PO BID D1–14 Q21d × 8 cycles | Observation | OS | mOS 51.1 vs. 36.4 mo (per-protocol HR 0.75; 95% CI 0.58–0.97; p = 0.028); ITT non-significant | [21] |
2. Epidemiology, Ancestry, and Research Consortia
2.1. Geographic Distribution
2.2. Genetic Ancestry and Exploratory Molecular Characterization
2.3. The EULAT Eradicate GBC Initiative
3. Diagnostic Biomarkers and the Exploration of Autoantibodies
4. The Tumor Microenvironment: Classifications and Mechanistic Hypotheses
Neoantigens, Peptide–MHC Presentation, and TCR-Mimic Antibody Strategies in Gallbladder Cancer
5. Standard of Care for Advanced or Metastatic Biliary Tract Cancer
6. Monoclonal Antibodies and ADCs: Clinical Evidence and Challenges
6.1. The Anti-EGFR Rationale and Its Clinical Limitations
6.2. HER2-Targeted Therapies: Bispecific Antibodies and ADCs
6.3. Antiangiogenic Modulation: Considerations on Bevacizumab
7. Bispecific Immunotherapy in Advanced BTC
7.1. Bintrafusp Alfa
7.2. Rilvegostomig and the TIGIT/PD-1 Pathway
8. Perioperative Scenarios: Initial Exploration in Potentially Resectable Localized Disease
9. Limitations and Challenges in GBC Research
- Extrapolation Bias in BTC: In clinical trials (“basket trials”), GBC usually represents a small fraction of the cohort analyzed [50,62]. Assuming that the therapeutic responses observed in global BTC apply equally to GBC ignores its profound anatomopathological and mutational differences [1,6,7,63].
- Geographic Inequality: GBC being an orphan pathology in North America and Europe [1,2], but endemic in Andean South American and Asian regions [1,2,23], there is a chronic deficit in recruitment equity for global trials [24,29], hindering validation of the impact of genetic ancestry on molecular heterogeneity and biomarker distribution [7,27].
10. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Biomarker/Study | Clinical Purpose | Population/Comparator | Methodology | N | Sensitivity | Specificity | AUC | Key Limitation |
|---|---|---|---|---|---|---|---|---|
| Part A: Diagnostic biomarkers | ||||||||
| CA 19-9/CEA [31] | Metastatic triage | Newly diagnosed GBC | Serum measurement at presentation | 1500 | 40.3% | 89.1% | 0.74 | Low sensitivity precludes use as standalone screening tool |
| ANXA1 autoantibody [32] | Early detection | Early GBC vs. lithiasis controls | Serum autoantibody assay (single marker) | NR | 41.7% | 89.9% | 0.69 | Single autoantibody lacks operative performance for clinical screening |
| Soma Scan® 7K plasma proteomics + ML [33] | Multi-protein panel | GBC vs. histologically confirmed AC | Aptamer platform (7596 proteins) + Elastic-Net + LASSO; 80/20 train-test + LOOCV | 44 GBC vs. 38 AC | NR | NR | AUC 94–98% | No external validation; clinically relevant comparator (cholecystitis) but small sample; hypothesis-generating |
| Part B: Predictive and tumor microenvironment biomarkers | ||||||||
| PD-L1 in tumor cells [37] | Predictive—immunotherapy response | BTC including GBC | IHC SP142 clone; TC ≥ 2+ with ≥5% stained tumor cells | 203 | NR | NR | Positivity 12% | TC scoring (not CPS); reported variability across studies 9–72% depending on clone/threshold |
| PD-1 in TILs [37] | TME—adaptive immune activation | BTC including GBC | IHC NAT105 clone; threshold ≥ 1+ | 203 | NR | NR | Positivity 55% in GBC | Suggests adaptive but exhausted immune microenvironment; predictive value undefined in absence of harmonized cut-offs |
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Caglevic, C.; Contreras-Torrez, M.A.; Reyes-Cosmelli, F.; Uribe-Maturana, R.; Mahave, M.; Caire, N.; Villanueva-Olivares, L.; Cid, F.; Lladser, A.; Sapunar, J. Improving Gallbladder Cancer Outcomes with Antibody-Based Therapies and Immunological Profiling: A Literature Review. Antibodies 2026, 15, 49. https://doi.org/10.3390/antib15030049
Caglevic C, Contreras-Torrez MA, Reyes-Cosmelli F, Uribe-Maturana R, Mahave M, Caire N, Villanueva-Olivares L, Cid F, Lladser A, Sapunar J. Improving Gallbladder Cancer Outcomes with Antibody-Based Therapies and Immunological Profiling: A Literature Review. Antibodies. 2026; 15(3):49. https://doi.org/10.3390/antib15030049
Chicago/Turabian StyleCaglevic, Christian, Mario Alex Contreras-Torrez, Felipe Reyes-Cosmelli, Rodrigo Uribe-Maturana, Mauricio Mahave, Nicole Caire, Luis Villanueva-Olivares, Fernando Cid, Alvaro Lladser, and Jorge Sapunar. 2026. "Improving Gallbladder Cancer Outcomes with Antibody-Based Therapies and Immunological Profiling: A Literature Review" Antibodies 15, no. 3: 49. https://doi.org/10.3390/antib15030049
APA StyleCaglevic, C., Contreras-Torrez, M. A., Reyes-Cosmelli, F., Uribe-Maturana, R., Mahave, M., Caire, N., Villanueva-Olivares, L., Cid, F., Lladser, A., & Sapunar, J. (2026). Improving Gallbladder Cancer Outcomes with Antibody-Based Therapies and Immunological Profiling: A Literature Review. Antibodies, 15(3), 49. https://doi.org/10.3390/antib15030049

