Guangyan Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Guangyan Li has a total of 33 co-authors. Here are the top co-authors by number of shared publications:
- William R. Sellers
Broad Institute of MIT and Harvard, Cambridge, USA
33 shared publications - Baomou Feng
Broad Institute, Cambridge, MA, United States
25 shared publications - Blanka Bordas
Virginia Tech, United States
25 shared publications - Caleb Mensah
Kumasi Centre for Collaborative Research in Tropical Medicine Kwame Nkrumah University of Science and Technology Kumasi Ghana
25 shared publications - Cyrus Y. Jin
Dana-Farber Cancer Institute, United States
25 shared publications - Devishi Kesar
Broad Institute, Cambridge, United States
25 shared publications
Latest Publications
- Open Access
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Figure S1 from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
Chemical structures of compounds used in this study
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S1 from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
Chemical structures of compounds used in this study
- Open Access
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Figure S5 from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
Sensitivity to any single RAS-targeted inhibitor is restricted to the subset of RAS(MUT)-specific inhibitor-sensitive tumors
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S5 from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
Sensitivity to any single RAS-targeted inhibitor is restricted to the subset of RAS(MUT)-specific inhibitor-sensitive tumors
- Open Access
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Data Legends from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Data Legends from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
- Open Access
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Data from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
A high therapeutic index, defined as potent inhibition of oncogenic signaling in tumor cells with minimal effects on normal cells, is critical for effective cancer therapies. Recent advances have introduced diverse RAS-targeting inhibitors, including mutant-specific inhibitors such as KRAS G12C and KRAS G12D, as well as paralog- and state-selective inhibitors. Non–mutant-specific RAS inhibition can be achieved by: (i) guanine nucleotide exchange–OFF inhibitors that indirectly inactivate RAS by targeting SHP2 or SOS1, (ii) KRAS-OFF inhibitors that spare NRAS and HRAS, and (iii) active-state RAS(ON) inhibitors that directly block binding of effector RAF. However, the signaling inhibition index (SII)—the differential suppression of oncogenic signaling between RAS-mutant and normal cells—remains poorly defined for these approaches. We evaluated the SII for state- and paralog-selective RAS inhibitors across diverse RAS-mutant and RAS–wild-type models. Guanine nucleotide exchange–OFF inhibitors exhibited neutral or negative values, with reduced MAPK suppression in KRAS G12X cells compared with wild-type cells. KRAS G13D models, especially with NF1 loss, showed low sensitivity. SHP2 plus MEK inhibition resulted in low selectivity, and RAS Q61X models were resistant due to MEK inhibitor–induced NRAS reactivation and altered SHP2 conformations. KRAS-OFF inhibitors demonstrated higher selectivity, whereas active- state RAS(ON) inhibitors showed broader activity but narrow selectivity. Sensitivity to mutant-specific inhibitors largely overlapped with sensitivity to state-selective agents, suggesting that most RAS-mutant tumors will respond poorly to any currently available RAS inhibitor.Implications:Determining the SII can inform the design and clinical application of RAS-targeted therapies to improve tumor selectivity and therapeutic outcomes.
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessData from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
A high therapeutic index, defined as potent inhibition of oncogenic signaling in tumor cells with minimal effects on normal cells, is critical for effective cancer therapies. Recent advances have introduced diverse RAS-targeting inhibitors, including mutant-specific inhibitors such as KRAS G12C and KRAS G12D, as well as paralog- and state-selective inhibitors. Non–mutant-specific RAS inhibition can be achieved by: (i) guanine nucleotide exchange–OFF inhibitors that indirectly inactivate RAS by targeting SHP2 or SOS1, (ii) KRAS-OFF inhibitors that spare NRAS and HRAS, and (iii) active-state RAS(ON) inhibitors that directly block binding of effector RAF. However, the signaling inhibition index (SII)—the differential suppression of oncogenic signaling between RAS-mutant and normal cells—remains poorly defined for these approaches. We evaluated the SII for state- and paralog-selective RAS inhibitors across diverse RAS-mutant and RAS–wild-type models. Guanine nucleotide exchange–OFF inhibitors exhibited neutral or negative values, with reduced MAPK suppression in KRAS G12X cells compared with wild-type cells. KRAS G13D models, especially with NF1 loss, showed low sensitivity. SHP2 plus MEK inhibition resulted in low selectivity, and RAS Q61X models were resistant due to MEK inhibitor–induced NRAS reactivation and altered SHP2 conformations. KRAS-OFF inhibitors demonstrated higher selectivity, whereas active- state RAS(ON) inhibitors showed broader activity but narrow selectivity. Sensitivity to mutant-specific inhibitors largely overlapped with sensitivity to state-selective agents, suggesting that most RAS-mutant tumors will respond poorly to any currently available RAS inhibitor.Implications:Determining the SII can inform the design and clinical application of RAS-targeted therapies to improve tumor selectivity and therapeutic outcomes.
- Open Access
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Figure S2 from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
KRAS(G12X)-expressing cells exhibit differential sensitivity to panRAS- GEF(OFF)i
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S2 from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
KRAS(G12X)-expressing cells exhibit differential sensitivity to panRAS- GEF(OFF)i
- Open Access
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Figure S3 from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
KRAS(G13D) cells are insensitive to next generation SHP2i and SOS1i
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S3 from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
KRAS(G13D) cells are insensitive to next generation SHP2i and SOS1i
- Open Access
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Figure S4 from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
RAS(Q61R/K) cells are insensitive to combined SHP2i+MEKi treatment due to feedback activation of RAS(Q61R/K) and induction of a SHP2 conformation with reduced binding to SHP2i
- 2 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S4 from RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
RAS(Q61R/K) cells are insensitive to combined SHP2i+MEKi treatment due to feedback activation of RAS(Q61R/K) and induction of a SHP2 conformation with reduced binding to SHP2i
- 15 October 2025
- Published by American Association for Cancer Research (AACR) in Molecular Cancer Research
- Vol. 24 (1) , 60-71
RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
A high therapeutic index, defined as potent inhibition of oncogenic signaling in tumor cells with minimal effects on normal cells, is critical for effective cancer therapies. Recent advances have introduced diverse RAS-targeting inhibitors, including mutant-specific inhibitors such as KRAS G12C and KRAS G12D, as well as paralog- and state-selective inhibitors. Non–mutant-specific RAS inhibition can be achieved by: (i) guanine nucleotide exchange–OFF inhibitors that indirectly inactivate RAS by targeting SHP2 or SOS1, (ii) KRAS-OFF inhibitors that spare NRAS and HRAS, and (iii) active-state RAS(ON) inhibitors that directly block binding of effector RAF. However, the signaling inhibition index (SII)—the differential suppression of oncogenic signaling between RAS-mutant and normal cells—remains poorly defined for these approaches. We evaluated the SII for state- and paralog-selective RAS inhibitors across diverse RAS-mutant and RAS–wild-type models. Guanine nucleotide exchange–OFF inhibitors exhibited neutral or negative values, with reduced MAPK suppression in KRAS G12X cells compared with wild-type cells. KRAS G13D models, especially with NF1 loss, showed low sensitivity. SHP2 plus MEK inhibition resulted in low selectivity, and RAS Q61X models were resistant due to MEK inhibitor–induced NRAS reactivation and altered SHP2 conformations. KRAS-OFF inhibitors demonstrated higher selectivity, whereas active- state RAS(ON) inhibitors showed broader activity but narrow selectivity. Sensitivity to mutant-specific inhibitors largely overlapped with sensitivity to state-selective agents, suggesting that most RAS-mutant tumors will respond poorly to any currently available RAS inhibitor. Implications: Determining the SII can inform the design and clinical application of RAS-targeted therapies to improve tumor selectivity and therapeutic outcomes.
- 15 October 2025
- Published by American Association for Cancer Research (AACR) in Molecular Cancer Research
- Vol. 24 (1) , 60-71
RAS Mutation–Specific Responses to Paralog- and State-Selective RAS Inhibitors
A high therapeutic index, defined as potent inhibition of oncogenic signaling in tumor cells with minimal effects on normal cells, is critical for effective cancer therapies. Recent advances have introduced diverse RAS-targeting inhibitors, including mutant-specific inhibitors such as KRAS G12C and KRAS G12D, as well as paralog- and state-selective inhibitors. Non–mutant-specific RAS inhibition can be achieved by: (i) guanine nucleotide exchange–OFF inhibitors that indirectly inactivate RAS by targeting SHP2 or SOS1, (ii) KRAS-OFF inhibitors that spare NRAS and HRAS, and (iii) active-state RAS(ON) inhibitors that directly block binding of effector RAF. However, the signaling inhibition index (SII)—the differential suppression of oncogenic signaling between RAS-mutant and normal cells—remains poorly defined for these approaches. We evaluated the SII for state- and paralog-selective RAS inhibitors across diverse RAS-mutant and RAS–wild-type models. Guanine nucleotide exchange–OFF inhibitors exhibited neutral or negative values, with reduced MAPK suppression in KRAS G12X cells compared with wild-type cells. KRAS G13D models, especially with NF1 loss, showed low sensitivity. SHP2 plus MEK inhibition resulted in low selectivity, and RAS Q61X models were resistant due to MEK inhibitor–induced NRAS reactivation and altered SHP2 conformations. KRAS-OFF inhibitors demonstrated higher selectivity, whereas active- state RAS(ON) inhibitors showed broader activity but narrow selectivity. Sensitivity to mutant-specific inhibitors largely overlapped with sensitivity to state-selective agents, suggesting that most RAS-mutant tumors will respond poorly to any currently available RAS inhibitor. Implications: Determining the SII can inform the design and clinical application of RAS-targeted therapies to improve tumor selectivity and therapeutic outcomes.
- Open Access
- 15 September 2025
- Published by American Association for Cancer Research (AACR)
Figure S9 from CRISPR–Drug Combinatorial Screening Identifies Effective Combination Treatments for MTAP-Deleted Cancer
Figure S9. Colony formation assays of five cell lines treated with MEK1/2 inhibitor trametinib, PRMT5 inhibitor MRTX1719, or the combination across all drug concentrations are shown.
- 15 September 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S9 from CRISPR–Drug Combinatorial Screening Identifies Effective Combination Treatments for MTAP-Deleted Cancer
Figure S9. Colony formation assays of five cell lines treated with MEK1/2 inhibitor trametinib, PRMT5 inhibitor MRTX1719, or the combination across all drug concentrations are shown.
- Open Access
- 15 September 2025
- Published by American Association for Cancer Research (AACR)
Figure S5 from CRISPR–Drug Combinatorial Screening Identifies Effective Combination Treatments for MTAP-Deleted Cancer
Figure S5. MTAP copy number and mRNA assessment of Cancer DepMap cell lines.
- 15 September 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S5 from CRISPR–Drug Combinatorial Screening Identifies Effective Combination Treatments for MTAP-Deleted Cancer
Figure S5. MTAP copy number and mRNA assessment of Cancer DepMap cell lines.