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Manchanda, R.

Publications and source records attributed to Manchanda, R..

4 recordsLinked to original sources

Reconstruction of epithelial transcriptional trajectories reveals heterogeneous progression and early therapy-resistance programs in high-grade serous carcinomaprecursors

BackgroundSerous-tubal intraepithelial-carcinoma (STIC) is considered the principal precursor of tubo-ovarian high-grade serous-carcinoma (HGSC), yet its biological uniformity, progression risk and potential response to poly(ADP-ribose) polymerase-inhibitors (PARPi) remain poorly defined. MethodsWe performed trajectory-based transcriptomic reconstruction of Fallopian-tube epithelial regions spanning normal epithelium, precursor lesions, STIC, and invasive carcinoma using pseudotime inference and publicly available spatial transcriptomic data. Gene expression and pathway dynamics were defined along pseudotime, and interpatient heterogeneity examined at both lesion and patient levels. Transcriptional signatures associated with PARPi-resistance were quantified across STICs, BRCA-mutant and BRCA-wild type subtypes. ResultsTrajectory inference captured a continuous transcriptional progression from normal epithelium to HGSC, with STICs occupying heterogeneous evolutionary positions rather than a single precursor state. Incidental isolated STICs(STICi) spanned early to later pseudotime states and frequently aligned with loss-of-cilium organisation and less advanced epithelial phenotypes. STICs associated with concurrent cancer(STICc) exhibited more advanced malignant progression signatures, including cell-cycle activation, epithelial-to-mesenchymal transition (EMT), interferon signaling, and DNA-repair. Histologically similar lesions occupied divergent pseudotime positions with marked interpatient heterogeneity. PARPi resistance-associated signatures were variably enriched across precursor and precancer-stage lesions, with persistence into invasive disease. ConclusionsSTICs are heterogeneous and occupy distinct evolutionary positions along a continuum, highlighting potentially different progression risks from normal epithelium to HGSC. STICi differ from STICc which harbour signatures of more advanced malignant progression. Heterogeneity in PARPi resistance-associated programs in STICs cautions against uniform (non-stratified) use of PARPi-based primary prevention strategies. Future research should explore evolutionary-trajectory informed biomarkers for risk stratification and early interception strategies. Translational relevanceSerous tubal intraepithelial-carcinoma (STIC) represents a precursor of tubo-ovarian high-grade serous carcinoma (HGSC), offering unique translational opportunities for early detection, risk stratification, and prevention. However, its phenotypic uniformity, progression risk and therapeutic drug response are not fully understood. Our study shows that STICs are not a uniform precursor state, but instead occupy a range of evolutionary positions along a continuum from normal epithelium to invasive HGSC. This heterogeneity reflects continuous transcriptional variation rather than discrete precursor categories. We report gene expression dynamics and molecular signature changes across the malignant transformation timeline. We further illustrate that precursor lesions exhibit phenotypic variability that impacts therapeutic drug resistance-associated programs. Our data highlight potential disease biomarkers defined by evolutionary trajectory inference and transcriptional processes associated with drug resistance operating in precursor lesions. These findings may help improve our ability to distinguish clinically significant lesions and inform targeted interception strategies.

cancer biology↗

Matrix structure and microenvironment dynamics correlate with chemotherapy response in ovarian cancer

Elevated extracellular matrix (ECM) in the tumor microenvironment (TME) is associated with chemoresistance and poor prognosis. We hypothesized that modifying the ECM may enhance response to chemotherapy. We measured chemotherapy-induced changes in the TME of two mouse models of high-grade serous ovarian cancer (HGSOC) that differed in chemotherapy response. Treatment of the chemo-sensitive tumors triggered dynamic transcriptional ECM and immune changes and structural modifications of ECM proteins. These changes, observed over twenty-days post-chemotherapy, had relevance to HGSOC patient responses to chemotherapy. Integrating transcriptomics with ECM structure metrics, we identified ECM targets, including lysyl oxidase (LOX), that might enhance chemotherapy in less responsive mouse tumors. Given alone or in combination with chemotherapy, a pan-LOX inhibitor (PXS-5505) modulated fibroblast and immune cell distribution and reduced tumor stiffness in HGSOC chemo-resistant mouse tumors. Moreover, pre-treatment with PXS-5505 improved response to chemotherapy. We conclude that pretreatment with ECM targeting agents may improve response to chemotherapy, by altering ECM structure and immune responses.

cancer biology↗

Transient dopamine response on medium spiny neuron subtypes in switching approach-avoidance outcomes against action bias - A framework for exploration in action selection

An ensemble of direct and indirect pathway medium spiny neurons (dMSN and iMSN), compete via their neural activity to drive the decision to approach or avoid an object, respectively. Dopamine acting as a reward prediction error (RPE) signal causes experience-dependent synaptic changes in dMSN and iMSN, thereby shifting the dominance of neural activity to approach or avoidance signalling. These changes create bias in the striatal neuronal ensemble and restrict the choice to approach or avoidance in further iterations. However, organisms often exhibit behaviour where they choose undesirable or exploratory actions in anticipation of future reward or avoid desirable actions in anticipation of future risk. These against-bias decisions or exploratory decisions are not accounted for by the existing neuronal framework. To bridge this gap, we postulate that transient motivational dopamine released from dopaminergic axons locally at sub-second timescales can cause temporary switch in dominance of neural activity between dMSN and iMSN leading to such adaptive decisions. By accounting for bias towards approach or avoidance or neither through synaptic weightages and accounting for differential affinity of DA to D1R and D2R, changes in dMSN and iMSN excitability at different levels of motivational dopamine was analysed. Furthermore, the spiking activity of striatal neuronal ensemble comprising of dMSN projecting directly and iMSN projecting indirectly onto the output nuclei of basal ganglia i.e. SNr neurons was simulated. This led to promising findings that demonstrate how SNr neuronal activity can generate outcomes that work against the cortico-striatal synaptic bias towards approach or avoidance. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=192 HEIGHT=200 SRC="FIGDIR/small/630270v2_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@fa322org.highwire.dtl.DTLVardef@9f27e1org.highwire.dtl.DTLVardef@f35d84org.highwire.dtl.DTLVardef@1808ed4_HPS_FORMAT_FIGEXP M_FIG C_FIG (Source: Created in BioRender. Anisetty, N. (2025) https://BioRender.com/a96f199)

neuroscience↗

Impact of dopaminergic modulation on the state transitions of striatal medium spiny neuron sub-types - a computational study

Medium spiny neurons (MSN) of the striatum are known for their bistable membrane potential leading to two states: a hyperpolarized down-state and a depolarized up-state. Glutamatergic inputs from the hippocampus play a key role in switching the cell to the up-state. This gating is known to play a key role in regulating when other synaptic inputs, such as from the cortex, should generate action potentials and when they should be considered as noise. Any deviations from this pattern of state transitions indicates abnormal gating that has implications in conditions such as schizophrenia. Although dopamine is reported to modulate ion channels of MSN sub-types - dMSN and iMSN - its influence on the state transition times and up-state dwell times are not yet examined. We address this lacuna using biophysically constrained spiny models of dMSN and iMSN with explicit dopamine receptors. Our findings indicate a significant increase in up-state dwell time for dMSN and a significant decrease for iMSN when the % activation of DA receptors was increased. Additionally, a strong correlation between state transition times and spiking frequencies of MSN sub-types was observed.

neuroscience↗