Shubham Pant
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Shubham Pant has a total of 723 co-authors. Here are the top co-authors by number of shared publications:
- David S. Hong
Department of Investigational Cancer Therapeutics, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
72 shared publications - Funda Meric-Bernstam
Department of Investigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, USA
70 shared publications - Jordi Rodon
Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
58 shared publications - Sarina Anne Piha-Paul
Department of Investigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
57 shared publications - Anirban Maitra
Laura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, NYU Langone Health, New York City, New York, USA
50 shared publications - Milind Javle
The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA
47 shared publications
Latest Publications
- Open Access
- 23 October 2026
- Published by Springer Nature in Nature Medicine
- p. 1-13
Lymph node-targeted, mKRAS-specific amphiphile vaccine in pancreatic cancer: the randomized phase 2 AMPLIFY-7P trial
Camupepimut (ELI-002 7P) drives mutated KRAS (mKRAS)-specific T cell responses that correlated with disease-free survival (DFS) and overall survival (OS) in patients with mKRAS pancreatic adenocarcinoma (PDAC) in the phase 1 AMPLIFY-201 trial. In the phase 2 AMPLIFY-7P trial, patients with stage I-III KRAS-mutated PDAC without recurrence within 6 months of standard therapy were randomized 2:1 to camupepimut (n = 96) or standard-of-care/observation (n = 48). Stratification balanced nodal status. The primary DFS endpoint was not met (median 23.8 versus 21.2 months; HR 0.85, P = 0.5329). However, prespecified and exploratory analyses were informative. A numerical DFS advantage at 6 months of 14.0% (75.7% versus 61.7%; HR 0.55, P = 0.0557) corresponded to camupepimut dosing. Post hoc multivariate Cox regression analysis of DFS indicated an improved outcome for camupepimut (adjusted HR 0.47, P = 0.0086), a worse outcome for stage III disease (adjusted HR 2.29, P = 0.0127), an elevated baseline CA19-9 (adjusted HR 3.16, P < 0.0001) and baseline circulating tumor DNA (ctDNA) positivity (adjusted HR 5.99, P < 0.0001). Prespecified subgroup analyses addressing prognostic and predictive factors suggested DFS benefit for camupepimut (ctDNA negative: HR 0.51, P = 0.0280; no prior radiation: HR 0.59, P = 0.0221). Exploratory analysis demonstrated that ex vivo mKRAS-specific T cell responses were robust (98.9%, 89/90) and associated with antigen spreading (86.7%, 13/15). In camupepimut-treated patients, mKRAS-specific T cell response >9.17-fold over baseline (82.2%, 74/90) correlated with improved DFS (HR 0.22, P < 0.0001), with the median DFS not reached versus 6.08 months for above and below 9.17-fold, respectively. Camupepimut safety was similar to observation, with grade ≥3 adverse events in 10.4% (10/96) versus 14.6% (7/48), and few serious AEs (6.3%, 6/96 versus 8.3%, 4/48; reflecting progression/surgical complication). These efficacy and immunogenicity signals will inform a refined strategy for a confirmatory phase 3 trial. ClinicalTrials.gov identifier: NCT05726864.
- 23 October 2026
- Published by Springer Nature in Nature Medicine
- p. 1-13
Open AccessLymph node-targeted, mKRAS-specific amphiphile vaccine in pancreatic cancer: the randomized phase 2 AMPLIFY-7P trial
Camupepimut (ELI-002 7P) drives mutated KRAS (mKRAS)-specific T cell responses that correlated with disease-free survival (DFS) and overall survival (OS) in patients with mKRAS pancreatic adenocarcinoma (PDAC) in the phase 1 AMPLIFY-201 trial. In the phase 2 AMPLIFY-7P trial, patients with stage I-III KRAS-mutated PDAC without recurrence within 6 months of standard therapy were randomized 2:1 to camupepimut (n = 96) or standard-of-care/observation (n = 48). Stratification balanced nodal status. The primary DFS endpoint was not met (median 23.8 versus 21.2 months; HR 0.85, P = 0.5329). However, prespecified and exploratory analyses were informative. A numerical DFS advantage at 6 months of 14.0% (75.7% versus 61.7%; HR 0.55, P = 0.0557) corresponded to camupepimut dosing. Post hoc multivariate Cox regression analysis of DFS indicated an improved outcome for camupepimut (adjusted HR 0.47, P = 0.0086), a worse outcome for stage III disease (adjusted HR 2.29, P = 0.0127), an elevated baseline CA19-9 (adjusted HR 3.16, P < 0.0001) and baseline circulating tumor DNA (ctDNA) positivity (adjusted HR 5.99, P < 0.0001). Prespecified subgroup analyses addressing prognostic and predictive factors suggested DFS benefit for camupepimut (ctDNA negative: HR 0.51, P = 0.0280; no prior radiation: HR 0.59, P = 0.0221). Exploratory analysis demonstrated that ex vivo mKRAS-specific T cell responses were robust (98.9%, 89/90) and associated with antigen spreading (86.7%, 13/15). In camupepimut-treated patients, mKRAS-specific T cell response >9.17-fold over baseline (82.2%, 74/90) correlated with improved DFS (HR 0.22, P < 0.0001), with the median DFS not reached versus 6.08 months for above and below 9.17-fold, respectively. Camupepimut safety was similar to observation, with grade ≥3 adverse events in 10.4% (10/96) versus 14.6% (7/48), and few serious AEs (6.3%, 6/96 versus 8.3%, 4/48; reflecting progression/surgical complication). These efficacy and immunogenicity signals will inform a refined strategy for a confirmatory phase 3 trial. ClinicalTrials.gov identifier: NCT05726864.
- Open Access
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S1 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Survival outcomes in ASQ versus PDAC
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S1 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Survival outcomes in ASQ versus PDAC
- Open Access
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S1 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Pathologic and molecular features
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S1 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Pathologic and molecular features
- Open Access
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S3 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Neoadjuvant chemotherapy regimens in spatial transcriptomics cohort
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S3 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Neoadjuvant chemotherapy regimens in spatial transcriptomics cohort
- Open Access
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S5 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Full statistics for pathway enrichment analysis of ASQ versus PDAC
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S5 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Full statistics for pathway enrichment analysis of ASQ versus PDAC
- Open Access
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S2 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Tissue sampling sites in FoundationOne cohort
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S2 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Tissue sampling sites in FoundationOne cohort
- Open Access
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S4 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Full statistics for differential gene expression analysis of ASQ versus PDAC
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S4 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Full statistics for differential gene expression analysis of ASQ versus PDAC
- Open Access
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S6 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Full statistics for differential gene expression analysis of squamous versus glandular regions in ASQ
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S6 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Full statistics for differential gene expression analysis of squamous versus glandular regions in ASQ
- Open Access
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S7 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Full statistics for pathway enrichment analysis of squamous versus glandular regions in ASQ
- 15 October 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S7 from Clinical, Genomic, and Spatial Transcriptomic Features of Pancreatic Adenosquamous Carcinoma Support Subtype-Specific Therapeutic Strategies
Full statistics for pathway enrichment analysis of squamous versus glandular regions in ASQ
- 23 September 2026
- Published by American Society of Clinical Oncology (ASCO) in JCO Oncology Practice
Personalized Therapy in Advanced Cholangiocarcinoma: Contemporary Treatment Approaches and Future Directions
Cholangiocarcinoma (CCA) includes a heterogeneous group of malignancies arising from the biliary epithelium, anatomically classified into intrahepatic, perihilar, and distal disease, with subtype-specific molecular features and treatment implications. Intrahepatic CCA is further subclassified into small- and large-duct variants. Most patients present with advanced, unresectable disease, and 5-year survival rates remain poor. For over a decade, gemcitabine-cisplatin (Gem-Cis) combination chemotherapy was the only established first-line standard of care. More recently, the addition of immune checkpoint inhibitors (IO), durvalumab and pembrolizumab, to Gem-Cis in the TOPAZ-1 and KEYNOTE-966 trials, respectively, improved overall survival, establishing chemoimmunotherapy as the new first-line therapy. Given the high prevalence of actionable alterations in CCA, comprehensive molecular profiling has become indispensable for second-line treatment selection and front-line clinical trial eligibility. FGFR2 fusions, IDH1 mutations, and HER2 amplification are among the most relevant, with several targeted agents now available in the second-line setting. Despite this progress, most patients exhaust treatment options within the first year, highlighting the need for further therapeutic advances. Emerging strategies include novel targeted agents, antibody-drug conjugates, locoregional approaches for liver-limited disease, and circulating tumor DNA monitoring for real-time treatment adaptation. The immunosuppressive tumor microenvironment and the absence of reliable predictive biomarkers for IO response remain key challenges that ongoing research aims to address. This review summarizes current evidence for the management of advanced CCA, focusing on molecular profiling, treatment sequencing, and emerging therapies.
- 23 September 2026
- Published by American Society of Clinical Oncology (ASCO) in JCO Oncology Practice
Personalized Therapy in Advanced Cholangiocarcinoma: Contemporary Treatment Approaches and Future Directions
Cholangiocarcinoma (CCA) includes a heterogeneous group of malignancies arising from the biliary epithelium, anatomically classified into intrahepatic, perihilar, and distal disease, with subtype-specific molecular features and treatment implications. Intrahepatic CCA is further subclassified into small- and large-duct variants. Most patients present with advanced, unresectable disease, and 5-year survival rates remain poor. For over a decade, gemcitabine-cisplatin (Gem-Cis) combination chemotherapy was the only established first-line standard of care. More recently, the addition of immune checkpoint inhibitors (IO), durvalumab and pembrolizumab, to Gem-Cis in the TOPAZ-1 and KEYNOTE-966 trials, respectively, improved overall survival, establishing chemoimmunotherapy as the new first-line therapy. Given the high prevalence of actionable alterations in CCA, comprehensive molecular profiling has become indispensable for second-line treatment selection and front-line clinical trial eligibility. FGFR2 fusions, IDH1 mutations, and HER2 amplification are among the most relevant, with several targeted agents now available in the second-line setting. Despite this progress, most patients exhaust treatment options within the first year, highlighting the need for further therapeutic advances. Emerging strategies include novel targeted agents, antibody-drug conjugates, locoregional approaches for liver-limited disease, and circulating tumor DNA monitoring for real-time treatment adaptation. The immunosuppressive tumor microenvironment and the absence of reliable predictive biomarkers for IO response remain key challenges that ongoing research aims to address. This review summarizes current evidence for the management of advanced CCA, focusing on molecular profiling, treatment sequencing, and emerging therapies.