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Cancer immunotherapy provides durable clinical benefit in only a small fraction of patients, and identifying these patients is difficult due to a lack of reliable biomarkers for prediction and evaluation of treatment response. Here, we demonstrate the first application of label-free Raman spectroscopy for elucidating biomolecular changes induced by anti–CTLA4 and anti–PD-L1 immune checkpoint inhibitors (ICI) in the tumor microenvironment (TME) of colorectal tumor xenografts. Multivariate curve resolution–alternating least squares (MCR-ALS) decomposition of Raman spectral datasets revealed early changes in lipid, nucleic acid, and collagen content following therapy. Support vector machine classifiers and random forests analysis provided excellent prediction accuracies for response to both ICIs and delineated spectral markers specific to each therapy, consistent with their differential mechanisms of action. Corroborated by proteomics analysis, our observation of biomolecular changes in the TME should catalyze detailed investigations for translating such markers and label-free Raman spectroscopy for clinical monitoring of immunotherapy response in cancer patients.Significance:This study provides first-in-class evidence that optical spectroscopy allows sensitive detection of early changes in the biomolecular composition of tumors that predict response to immunotherapy with immune checkpoint inhibitors.

Supplementary figures S1 and S2 and supplementary tables ST1 and ST2

SF1: Tumor growth assays for lung and HN tumors. SF2: The complete set of MCR-derived pure component spectra and tables listing their peak assignments. SF3: Representative MCR score maps for lung and HN tumor datasets. SF4: Histologic images for HN tumor dataset. TS1-4: Results of binary leave-one-mouse-out SVM analyses.

Delay in the assessment of tumor response to radiotherapy continues to pose a major challenge to quality of life for patients with nonresponsive tumors. Here, we exploited label-free Raman spectroscopic mapping to elucidate radiation-induced biomolecular changes in tumors and uncovered latent microenvironmental differences between treatment-resistant and -sensitive tumors. We used isogenic radiation-resistant and -sensitive A549 human lung cancer cells and human head and neck squamous cell carcinoma (HNSCC) cell lines (UM-SCC-47 and UM-SCC-22B, respectively) to grow tumor xenografts in athymic nude mice and demonstrated the molecular specificity and quantitative nature of Raman spectroscopic tissue assessments. Raman spectra obtained from untreated and treated tumors were subjected to chemometric analysis using multivariate curve resolution-alternating least squares (MCR-ALS) and support vector machine (SVM) to quantify biomolecular differences in the tumor microenvironment. The Raman measurements revealed significant and reliable differences in lipid and collagen content postradiation in the tumor microenvironment, with consistently greater changes observed in the radiation-sensitive tumors. In addition to accurately evaluating tumor response to therapy, the combination of Raman spectral markers potentially offers a route to predicting response in untreated tumors prior to commencing treatment. Combined with its noninvasive nature, our findings provide a rationale for in vivo studies using Raman spectroscopy, with the ultimate goal of clinical translation for patient stratification and guiding adaptation of radiotherapy during the course of treatment.Significance:These findings highlight the sensitivity of label-free Raman spectroscopy to changes induced by radiotherapy and indicate the potential to predict radiation resistance prior to commencing therapy.

The accurate analytical characterization of metastatic phenotype at primary tumor diagnosis and its evolution with time are critical for controlling metastatic progression of cancer. Here, we report a label-free optical strategy using Raman spectroscopy and machine learning to identify distinct metastatic phenotypes observed in tumors formed by isogenic murine breast cancer cell lines of progressively increasing metastatic propensities. Our Raman spectra-based random forest analysis provided evidence that machine learning models built on spectral data can allow the accurate identification of metastatic phenotype of independent test tumors. By silencing genes critical for metastasis in highly metastatic cell lines, we showed that the random forest classifiers provided predictions consistent with the observed phenotypic switch of the resultant tumors towards lower metastatic potential. Furthermore, the spectral assessment of lipid and collagen content of these tumors was consistent with the observed phenotypic switch. Overall, our findings indicate that Raman spectroscopy may offer a novel strategy to evaluate metastatic risk during primary tumor biopsies in clinical patients.

Radiation therapy plays an important role in cancer treatment, as it is an established method used as part of the treatment plan for the majority of cancer patients. Real-time monitoring of the effects of radiation on the tumor microenvironment can contribute to the development of better treatment plans. In this study, we use diffuse reflectance spectroscopy, a non-invasive optical fiber-based technique, to determine the effects of different doses of radiation on the tumor microenvironment, as well as to determine the sensitivity of diffuse reflectance spectroscopy to low doses of radiation that are used in the treatment of certain cancers. We injected 4T1 cells into 50 Balb/c mice to generate tumor xenografts. When the tumors grew to 200 mm3, we distributed the mice into a control group or one of three radiation groups: 1, 2, or 4 Gy/fraction, and they underwent treatment for five consecutive days. We measured the tumor volume and collected diffuse reflectance spectra every day, with optical measurements being acquired both before and one h postirradiation on the five days of treatment. Based on the diffusely reflected light, we quantified vascular oxygenation, total hemoglobin content, and tissue scattering within these tumors. There was a significant increase in tumor vascular oxygenation, which was primarily due to an increase in oxygenated hemoglobin, in response to a 1 Gy/fraction of radiation, while there was a decrease in tissue scattering in response to all doses of radiation. Immunohistochemical analysis revealed that tumor cell proliferation and apoptosis were higher in irradiated groups compared to the control group. Our findings show that diffuse reflectance spectroscopy is sensitive to microenvironmental changes in tumors treated with doses of radiation as low as 1 Gy/fraction.

Radiation resistance can halt a well-curated treatment plan in its tracks, but it may take weeks to realize this lack of efficacy resulting in lost time and unnecessary side effects. In this study, we sought to elucidate novel biomarkers of radiation resistance to predict treatment response in head and neck squamous cell carcinoma (HNSCC) at much earlier timepoints. We grew tumor xenografts from radiation-resistant UM-SCC-47 (n=25) and -sensitive UM-SCC-22B (n=37) cells in nude athymic mice. Each group was randomly divided into treatment and control groups, which were further subdivided into four timepoints for tumor excision: pre-treatment baseline, 1-, 24-, and 48-hours post-treatment. Prior to excision, we injected pimonidazole to quantify tumor hypoxia. We determined the two-photon excited fluorescence intensity and lifetime of NADH and FAD and quantified the optical redox ratio, ratio of free to bound NADH, and mean NADH lifetime of frozen sections of each tumor. We observed spatial and temporal heterogeneity in these high-resolution optical maps that indicated different metabolic programs in radiation-resistant and -sensitive tumors. A histogram-based heterogeneity analysis revealed time dependent shifts toward glycolysis in the radiation-resistant UM-SCC-47 treatment group, while the sensitive UM-SCC-22B treatment group showed the opposite trend. Proteomics performed on both cell lines identified multiple dysregulated proteins that are often implicated in HNSCC and associated with metabolic reprogramming — specifically, EGFR and SMAD4. We also found elevated levels of hypoxia and HIF-1 in the UM-SCC-47 tumors compared with the UM-SCC-22B tumors prior to and post-radiation. Using spatially co-registered optical imaging and immunohistochemical maps of the same field of view, we will present correlations between our optical markers and EGFR, SMAD4, and HIF-1. These studies will provide evidence of how protein dysregulation causes changes to optical metabolic imaging markers. Citation Format: Jesse D. Ivers, Sina Dadgar, Narasimhan Rajaram. Multimodal metabolic imaging and proteomics of radiation resistance in head and neck squamous cell carcinoma. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3703.

Fractionated radiation therapy is believed to reoxygenate and subsequently radiosensitize surviving hypoxic cancer cells. Measuring tumor reoxygenation between radiation fractions could conceivably provide an early biomarker of treatment response. However, the relationship between tumor reoxygenation and local control is not well understood. We used noninvasive optical fiber-based diffuse reflectance spectroscopy to monitor radiation-induced changes in hemoglobin oxygen saturation (sO2) in tumor xenografts grown from two head and neck squamous cell carcinoma cell lines - UM-SCC-22B and UM-SCC-47. Tumors were treated with 4 doses of 2 Gy over 2 consecutive weeks and diffuse reflectance spectra were acquired every day during the 2-week period. There was a statistically significant increase in sO2 in the treatment-responsive UM-SCC-22B tumors immediately following radiation. This reoxygenation trend was due to an increase in oxygenated hemoglobin (HbO2) and disappeared over the next 48 h as sO2 returned to preradiation baseline values. Conversely, sO2 in the relatively radiation-resistant UM-SCC-47 tumors increased after every dose of radiation and was driven by a significant decrease in deoxygenated hemoglobin (dHb). Immunohistochemical analysis revealed significantly elevated expression of hypoxia-inducible factor (HIF-1) in the UM-SCC-47 tumors prior to radiation and up to 48 h postradiation compared with the UM-SCC-22B tumors. Our observation of a decrease in dHb, a corresponding increase in sO2, as well as greater HIF-1α expression only in UM-SCC-47 tumors strongly suggests that the reoxygenation within these tumors is due to a decrease in oxygen consumption in the cancer cells, which could potentially play a role in promoting radiation resistance.

Background Cachexia presents in 80% of advanced cancer patients; however, cardiac atrophy in cachectic patients receives little attention. This cardiomyopathy contributes to increased occurrence of adverse cardiac events compared with age‐matched population norms. Research on cardiac atrophy has focused on remodelling; however, alterations in metabolic properties may be a primary contributor. The purpose of the study is to determine how cancer‐induced cardiac atrophy alters mitochondrial turnover, mitochondrial mRNA translation machinery, and in vitro oxidative characteristics. Methods Lewis lung carcinoma (LLC) tumours were implanted in C57BL6/J mice and grown for 28 days to induce cardiac atrophy. Endogenous metabolic species and markers of mitochondrial function were assessed. H9c2 cardiomyocytes were cultured in LLC‐conditioned media with (out) the antioxidant MitoTempo. Cells were analysed for reactive oxygen species (ROS), oxidative capacity, and hypoxic resistance. Results LLC heart weights were ~10% lower than controls. LLC hearts demonstrated ~15% lower optical redox ratio [flavin adenine dinucleotide (FAD)/FAD + nicotinamide adenine dinucleotide hydrogen (NADH)] compared with phosphate‐buffered saline controls. When compared with phosphate‐buffered saline, LLC hearts showed ~50% greater Cytochrome‐C oxidase subunit 4 (COX‐IV) and Voltage‐dependent anion channel (VDAC), attributed to ~50% lower mitophagy markers. mt‐mRNA translation machinery was elevated similarly to markers of mitochondrial content. Mitochondrial DNA‐encoded Cytb was ~30% lower in LLC hearts. ROS scavengers GPx‐3 and GPx‐7 were ~50% lower in LLC hearts. Treatment of cardiomyocytes with LLC‐conditioned media resulted in higher ROS (25%), lower oxygen consumption rates (10% at basal and 75% at maximal), and greater susceptibility to hypoxia (~25%), which was reversed by MitoTempo. Conclusions These results substantiate metabolic cardiotoxic effects attributable to tumour‐associated factors and provide insight into interactions between mitochondrial mRNA translation, ROS mitigation, oxidative capacity, and hypoxia resistance.

Background Immunotherapy in colorectal cancer (CRC) regulates specific immune checkpoints and, when used in combination with chemotherapy, can improve patient prognosis. One specific immune checkpoint is the recruitment of circulating monocytes that differentiate into tumor-associated macrophages (TAMs) and promote tumor angiogenesis. Changes in vascularization can be non-invasively assessed via diffuse reflectance spectroscopy using hemoglobin concentrations and oxygenation in a localized tumor volume. In this study, we examine whether blockade of monocyte recruitment via CCL2 (macrophage chemoattractant protein-1) leads to enhanced sensitivity of 5-fluorouracil (5-FU) in a CT26-Balb/c mouse model of CRC. It was hypothesized that the blockade of TAMs will alter tumor perfusion, increasing chemotherapy response. A subcutaneous tumor model using Balb/c mice injected with CT26 colon carcinoma cells received either a saline or isotype control, anti-CCL2, 5-FU, or a combination of anti-CCL2 and 5-FU. Results Findings show that 12 days post-treatment, monocyte recruitment was significantly reduced by approximately 61% in the combination group. This shows that the addition of anti-CCL2 to 5-FU slowed the fold-change (change from the original measurement to the final measurement) in tumor volume from Day 0 to Day 12 (~ 5 fold). Modest improvements in oxygen saturation (~ 30%) were observed in the combination group. Conclusion The findings in this work suggest that the blockade of CCL2 is sufficient in the reduction of TAMs that are recruited into the tumor microenvironment and has the ability to modestly alter tumor perfusion during early-tumor response to treatment even though the overall benefit is relatively modest.

Cancer immunotherapy provides durable clinical benefit in only a small fraction of patients, and identifying these patients is difficult due to a lack of reliable biomarkers for prediction and evaluation of treatment response. Here, we demonstrate the first application of label-free Raman spectroscopy for elucidating biomolecular changes induced by anti–CTLA4 and anti–PD-L1 immune checkpoint inhibitors (ICI) in the tumor microenvironment (TME) of colorectal tumor xenografts. Multivariate curve resolution–alternating least squares (MCR-ALS) decomposition of Raman spectral datasets revealed early changes in lipid, nucleic acid, and collagen content following therapy. Support vector machine classifiers and random forests analysis provided excellent prediction accuracies for response to both ICIs and delineated spectral markers specific to each therapy, consistent with their differential mechanisms of action. Corroborated by proteomics analysis, our observation of biomolecular changes in the TME should catalyze detailed investigations for translating such markers and label-free Raman spectroscopy for clinical monitoring of immunotherapy response in cancer patients.Significance:This study provides first-in-class evidence that optical spectroscopy allows sensitive detection of early changes in the biomolecular composition of tumors that predict response to immunotherapy with immune checkpoint inhibitors.

Immune checkpoint inhibitors have revolutionized cancer treatment. However, there are currently no methods for noninvasively and nondestructively evaluating tumor response to immune checkpoint inhibitors. We used diffuse reflectance spectroscopy to monitor in vivo tumor microenvironmental changes in response to immune checkpoint inhibitors in a CT26 murine colorectal cancer model. Mice growing CT26 tumor xenografts were treated with either anti-PD-L1, anti-CTLA-4, a combination of both inhibitors, or isotype control on 3 separate days. Monotherapy with either anti-PD-L1 or anti-CTLA-4 led to a large increase in tumor vascular oxygenation within the first 6 days. Reoxygenation in anti-CTLA-4-treated tumors was due to a combination of increased oxygenated hemoglobin and decreased deoxygenated hemoglobin, pointing to a possible change in tumor oxygen consumption following treatment. Within the anti-PD-L1-treated tumors, reoxygenation was primarily due to an increase in oxygenated hemoglobin with the minimal change in deoxygenated hemoglobin, indicative of a likely increase in tumor perfusion. The tumors in the combined treatment group did not show any significant changes in tumor oxygenation following therapy. These studies demonstrate the sensitivity of diffuse reflectance spectroscopy to tumor microenvironmental changes following immunotherapy and the potential of such non-invasive techniques to determine early tumor response to immune checkpoint inhibitors.

Purpose: The objective of this study is to quantitatively evaluate terahertz (THz) imaging for differentiating cancerous from non-cancerous tissues in mammary tumors developed in response to injection of N-ethyl-N-nitrosourea (ENU) in Sprague Dawley rats. Approach: While previous studies have investigated the biology of mammary tumors of this model, the current work is the first study to employ an imaging modality to visualize these tumors. A pulsed THz imaging system is utilized to experimentally collect the time-domain reflection signals from each pixel of the rat’s excised tumor. A statistical segmentation algorithm based on the expectation-maximization (EM) classification method is implemented to quantitatively assess the obtained THz images. The model classification of cancer is reported in terms of the receiver operating characteristic (ROC) curves and the areas under the curves. Results: The obtained low-power microscopic images of 17 ENU-rat tumor sections exhibited the presence of healthy connective tissue adjacent to cancerous tissue. The results also demonstrated that high reflection THz signals were received from cancerous compared with non-cancerous tissues. Decent tumor classification was achieved using the EM method with values ranging from 83% to 96% in fresh tissues and 89% to 96% in formalin-fixed paraffin-embedded tissues. Conclusions: The proposed ENU breast tumor model of Sprague Dawley rats showed a potential to obtain cancerous tissues, such as human breast tumors, adjacent to healthy tissues. The implemented EM classification algorithm quantitatively demonstrated the ability of THz imaging in differentiating cancerous from non-cancerous tissues.

Being both advanced in age and obese each contribute to cardiac hypertrophy in a unique manner. Electron transport complexes I and IV are implicated in deficient electron transport during cardiomyopathies and contain the majority of protein subunits that are transcribed and translated by machinery localized within the mitochondria. Purpose To assess myocardial mt-mRNA translation factors in relation to mitochondrial content and mtDNA-encoded protein using a mouse model of aged obesity and to test the relationship of mt-mRNA translation initiation factor 2 (mtIF2) to oxidative capacity and the cellular oxidation-reduction (redox) state in cardiomyocytes. Methods Male C56BL/6 J mice fed lean or high fat diet were aged to either ~3 months or ~22 months, the heart was excised and analyzed using immunoblot and qPCR to assess differences in mitochondrial mRNA translation machinery. Using H9c2 cardiomyocytes, mtIF2 was knocked-down and oxidative metabolic characteristics assessed including oxidation/reduction state, bioenergetic flux, and hypoxic resistance was tested. Results Aged, obese mouse hearts were ~40% larger than young, lean controls and contained ~50% less mtIF2 protein alongside ~25–50% lower content of Cytb, a protein encoded by mtDNA. Reducing the level of mtIF2 by shRNA is associated with ~15–20% lower content of OXPHOS complex I and IV, ~30% lower optical redox ratio, ~40% oxygen reserve capacity, and ~20% less cell survival following hypoxia. Conclusion We present evidence of altered mt-mRNA translation during cardiac hypertrophy in aged obesity. We build on these results by demonstrating the necessity of mtIF2 in maintaining oxidative characteristics of cardiac muscle cells.

Clinical benefit is observed in only a limited fraction of patients that undergo immunotherapy for a variety of cancer types. Therefore, the determination of robust biomarkers for accurate prediction of response to immunotherapeutic agents remains one of the grand challenges of 21st century. Our primary goal was to investigate if phenotypic differences due to treatment with ICI can be recognized with minimally perturbative molecular tools and guide personalization of immunotherapy. In this work, we provide first-in-class evidence that Raman spectroscopy (an optical method) and machine learning allows sensitive detection of early changes in biomolecular composition of tumors in response to immunotherapy with immune checkpoint inhibitors (ICI). By studying the widely investigated CT26 murine model of colorectal cancer treated with anti-CTLA-4 (n = 8) and anti-PD-L1 (n = 7) ICIs and controls (n = 10), we revealed new biological insights into the nature and degree of microenvironmental modifications induced by exposure to clinically relevant doses of ICI. Multivariate curve resolution-alternating least squares (MCR-ALS) decomposition of Raman spectral datasets revealed early changes in lipid, nucleic acid, and collagen content of the tumors following therapy. We trained supervised classification models - support vector machines and random forests on the spectral datasets and showed that the models provided excellent prediction accuracies for response to both ICIs and delineated spectral markers specific to each therapy, consistent with their differential mechanisms of action. On the basis of these findings, we sought to determine if the tumor microenvironment changes delineated by Raman spectroscopy correspond to proteomic alterations via quantitative mass spectrometry. Of the more than 6600 proteins identified, about 136 proteins were found to be significantly different in treated tumors relative to controls (p < 0.05 and log2 fold change of > 2). A subset of these differentially expressed proteins is known to regulate lipid metabolism and extracellular matrix composition, while others are known to control transcriptome dynamics or are associated with response to ICI therapy, thereby corroborating our Raman spectroscopic measurements. Our observation of biomolecular changes in the TME should catalyze detailed investigations for translating such markers and label-free Raman spectroscopy for clinical monitoring of immunotherapy response in cancer patients. Citation Format: Santosh K. Paidi, Joel R. Troncoso, Narasimhan Rajaram, Ishan Barman. Elucidating early tumor microenvironmental changes due to immunotherapy with label-free Raman spectroscopy and machine learning [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1943.

We used Diffuse Reflectance spectroscopy (DRS) to investigate functional changes within the tumor microenvironment when treated with different immunotherapy drugs. We injected the CT26 cell line into the flank of 35 mice that were assigned to 4 different groups: anti-PD-1, anti-CTLA-4, combination treatment, and IgG. The 4 groups were injected intraperitoneally on days 1, 4 and 7 (Day 1 – tumor at 80-120 mm3). DRS spectra were acquired simultaneously for 9 consecutive days and a lookup table (LUT)-based inverse model was implemented to decompose the spectral data. We found statistically significant differences in functional changes among the different immunotherapy groups.

We used diffuse reflectance spectroscopy to assess the effects of different radiation therapy doses on tumor microenvironment. We injected 4T1 cells into the flanks of 25 mice to develop tumor xenografts, and randomly distributed the animals into control and radiation groups, which received a dose of either 1, 2, or 4 Gy. Treatment started when tumors reached a volume of 200 mm3. DRS measurements were obtained prior to and 1 hour after radiation on the five days of treatment, and once a day thereafter. Our data demonstrates that DRS is sensitive to tumor microenvironmental changes after low doses of radiation.

Mild cognitive impairment (MCI) could be a transitory stage to Alzheimer’s disease (AD) and underlines the importance of early detection of this stage. In MCI stage, though the older adults are not completely dependent on others for day-to-day tasks, mild impairments are seen in memory, attention, etc., subtly affecting their daily activities/routines. Smart sensing technologies, such as wearable and non-wearable sensors, coupled with advanced predictive modeling techniques enable daily activities/routines based early detection of MCI symptoms. Non-wearable sensors are less intrusive and can monitor activities at naturalistic environment with no interference to an individual’s daily routines. This review seeks to answer the following questions: (1) What is the evidence for use of non-wearable sensor technologies in early detection of MCI/AD utilizing daily activity data in an unobtrusive manner? (2) How are the machine learning methods being employed in analyzing activity data in this early detection approach? A systematic search was conducted in databases such as IEEE Explorer, PubMed, Science Direct, and Google Scholar for the papers published from inception till March 2019. All studies that fulfilled the following criteria were examined: a research goal of detecting/predicting MCI/AD, daily activities data to detect MCI/AD, noninvasive/non-wearable sensors for monitoring activity patterns, and machine learning techniques to create the prediction models. Out of 2165 papers retrieved, 12 papers were eligible for inclusion in this review. This review found a diverse selection of aspects such as sensors, activity domains/features, activity recognition methods, and abnormality detection methods. There is no conclusive evidence on superiority of one or more of these aspects over the others, especially on the activity feature that would be the best indicator of cognitive decline. Though all these studies demonstrate technological developments in this field, they all suggest it is far in the future it becomes an effective diagnostic tool in real-life clinical practice.

This paper proposes a new supervised image segmentation algorithm for the detection of breast cancer using terahertz (THz) imaging. Even though unsupervised learning algorithms have achieved promising results in THz image segmentation, reliable segmentation of tissues with three or more regions, such as cancer, fat and muscle, still remains a major challenge. We propose to tackle this challenge by developing a supervised statistical learning method based on multi-class Bayesian ordinal probit regression. The proposed algorithm utilizes a latent variable for the categorical classification of each pixel within the image. The model parameters are estimated through a Markov chain Monte Carlo (MCMC) process during the training phase. Experimental results in murine formalin-fixed paraffin-embedded (FFPE) breast cancer samples demonstrated that the proposed supervised model outperforms alternative unsupervised methods.

Significance: Many studies in colorectal cancer (CRC) use murine ectopic tumor models to determine response to treatment. However, these models do not replicate the tumor microenvironment of CRC. Physiological information of treatment response derived via diffuse reflectance spectroscopy (DRS) from murine primary CRC tumors provide a better understanding for the development of new drugs and dosing strategies in CRC. Aim: Tumor response to chemotherapy in a primary CRC model was quantified via DRS to extract total hemoglobin content (tHb), oxygen saturation (StO2), oxyhemoglobin, and deoxyhemoglobin in tissue. Approach: A multimodal DRS and imaging probe (0.78 mm outside diameter) was designed and validated to acquire diffuse spectra longitudinally—via endoscopic guidance—in developing colon tumors under 5-fluoruracil (5-FU) maximum-tolerated (MTD) and metronomic regimens. A filtering algorithm was developed to compensate for positional uncertainty in DRS measurements Results: A maximum increase in StO2 was observed in both MTD and metronomic chemotherapy-treated murine primary CRC tumors at week 4 of neoadjuvant chemotherapy, with 21 ± 6 % and 17 ± 6 % fold changes, respectively. No significant changes were observed in tHb. Conclusion: Our study demonstrates the feasibility of DRS to quantify response to treatment in primary CRC models.

We present functional and biomolecular changes in head and neck tumor xenografts when exposed to radiation therapy and discuss how these changes can be used to monitor tumor response to therapy.

Metabolic changes in breast cancer cells of varying metastatic potential on exposure to chronic and intermittent hypoxia are determined using optical redox ratio obtained via two-photon microscopy.

The incidence of woody breast (WB) is increasing on a global scale representing a significant welfare problem and economic burden to the poultry industry and for which there is no effective treatment due to its unknown etiology. In this study, using diffuse reflectance spectroscopy (DRS) coupled with iSTAT portable clinical analyzer, we provide evidence that the circulatory- and breast muscle-oxygen homeostasis is dysregulated [low oxygen and hemoglobin (HB) levels] in chickens with WB myopathy compared to healthy counterparts. Molecular analysis showed that blood HB subunit Mu (HBM), Zeta (HBZ), and hephaestin (HEPH) expression were significantly down regulated; however, the expression of the subunit rho of HB beta (HBBR) was upregulated in chicken with WB compared to healthy counterparts. The breast muscle HBBR, HBE, HBZ, and hypoxia-inducible factor prolyl hydroxylase 2 (PHD2) mRNA abundances were significantly down regulated in WB-affected compared to normal birds. The expression of HIF-1α at mRNA and protein levels was significantly induced in breasts of WB-affected compared to unaffected birds confirming a local hypoxic status. The phosphorylated levels of the upstream mediators AKT at Ser473 site, mTOR at Ser2481 site, and PI3K P85 at Tyr458 site, as well as their mRNA levels were significantly increased in breasts of WB-affected birds. In attempt to identify a nutritional strategy to reduce WB incidence, male broiler chicks (Cobb 500, n = 576) were randomly distributed into 48 floor pens and subjected to six treatments (12 birds/pen; 8 pens/treatment): a nutrient adequate control group (PC), the PC supplemented with 0.3% myo-inositol (PC + MI), a negative control (NC) deficient in available P and Ca by 0.15 and 0.16%, respectively, the NC fed with quantum blue (QB) at 500 (NC + 500 FTU), 1,000 (NC + 1,000 FTU), or 2,000 FTU/kg of feed (NC + 2,000 FTU). Although QB-enriched diets did not affect growth performances (FCR and FE), it did reduce the severity of WB by 5% compared to the PC diet. This effect is mediated by reversing the expression profile of oxygen homeostasis-related genes; i.e., significant down regulation of HBBR and upregulation of HBM, HBZ, and HEPH in blood, as well as a significant upregulation of HBA1, HBBR, HBE, HBZ, and PHD2 in breast muscle compared to the positive control.

Global rise in incidence of woody breast (WB) syndrome imposes a significant economic burden on the poultry industry. The increase in WB is due to the large increase in the weight of chickens these days within a very short period. An early determination of WB can significantly reduce losses to the poultry industry. Diffuse reflectance spectroscopy provides a noninvasive and rapid method to interrogate tissue function. The sensitivity of DRS to the distinct absorption spectra of oxygenated and deoxygenated hemoglobin allows accurate quantification of average hemoglobin concentration and vascular oxygenation within the sampled tissue. In this study, we used diffuse reflectance spectroscopy to monitor breast hemoglobin concentration (THb) and vascular oxygen saturation (sO2) of 16 chickens that were exposed to heat stress (HS). HS is an important cause of WB myopathy in chickens. Animals were exposed to heat-stress (HS) and optical data were acquired at three time points: at baseline prior to heat stress, 2 days, and 21 days after initiation of HS. Our results show that animals from control and HS groups had a steady decay in optically derived breast hemoglobin concentration consistent with independent i-STAT measurements made on blood sampled from the femoral artery and could provide a noninvasive technology for monitoring tissue function in the poultry industry.

Delay in the assessment of tumor response to radiotherapy continues to pose a major challenge to quality of life for patients with nonresponsive tumors. Here, we exploited label-free Raman spectroscopic mapping to elucidate radiation-induced biomolecular changes in tumors and uncovered latent microenvironmental differences between treatment-resistant and -sensitive tumors. We used isogenic radiation-resistant and -sensitive A549 human lung cancer cells and human head and neck squamous cell carcinoma (HNSCC) cell lines (UM-SCC-47 and UM-SCC-22B, respectively) to grow tumor xenografts in athymic nude mice and demonstrated the molecular specificity and quantitative nature of Raman spectroscopic tissue assessments. Raman spectra obtained from untreated and treated tumors were subjected to chemometric analysis using multivariate curve resolution-alternating least squares (MCR-ALS) and support vector machine (SVM) to quantify biomolecular differences in the tumor microenvironment. The Raman measurements revealed significant and reliable differences in lipid and collagen content postradiation in the tumor microenvironment, with consistently greater changes observed in the radiation-sensitive tumors. In addition to accurately evaluating tumor response to therapy, the combination of Raman spectral markers potentially offers a route to predicting response in untreated tumors prior to commencing treatment. Combined with its noninvasive nature, our findings provide a rationale for in vivo studies using Raman spectroscopy, with the ultimate goal of clinical translation for patient stratification and guiding adaptation of radiotherapy during the course of treatment. Significance: These findings highlight the sensitivity of label-free Raman spectroscopy to changes induced by radiotherapy and indicate the potential to predict radiation resistance prior to commencing therapy.

Background Although metastasis is ultimately responsible for about 90% of breast cancer mortality, the vast majority of breast-cancer-related deaths are due to progressive recurrences from non-metastatic disease. Current adjuvant therapies are unable to prevent progressive recurrences for a significant fraction of patients with breast cancer. Autologous tumor cell vaccines (ATCVs) are a safe and potentially useful strategy to prevent breast cancer recurrence, in a personalized and patient-specific manner, following standard-of-care tumor resection. Given the high intra-patient and inter-patient heterogeneity in breast cancer, it is important to understand which factors influence the immunogenicity of breast tumor cells in order to maximize ATCV effectiveness. Methods The relative immunogenicity of two murine breast carcinomas, 4T1 and EMT6, were compared in a prophylactic vaccination-tumor challenge model. Differences in cell surface expression of antigen-presentation-related and costimulatory molecules were compared along with immunosuppressive cytokine production. CRISPR/Cas9 technology was used to modulate tumor-derived cytokine secretion. The impacts of cytokine deletion on splenomegaly, myeloid-derived suppressor cell (MDSC) accumulation and ATCV immunogenicity were assessed. Results Mice vaccinated with an EMT6 vaccine exhibited significantly greater protective immunity than mice vaccinated with a 4T1 vaccine. Hybrid vaccination studies revealed that the 4T1 vaccination induced both local and systemic immune impairments. Although there were significant differences between EMT6 and 4T1 in the expression of costimulatory molecules, major disparities in the secretion of immunosuppressive cytokines likely accounts for differences in immunogenicity between the cell lines. Ablation of one cytokine in particular, granulocyte-colony stimulating factor (G-CSF), reversed MDSC accumulation and splenomegaly in the 4T1 model. Furthermore, G-CSF inhibition enhanced the immunogenicity of a 4T1-based vaccine to the extent that all vaccinated mice developed complete protective immunity. Conclusions Breast cancer cells that express high levels of G-CSF have the potential to diminish or abrogate the efficacy of breast cancer ATCVs. Fortunately, this study demonstrates that genetic ablation of immunosuppressive cytokines, such as G-CSF, can enhance the immunogenicity of breast cancer cell-based vaccines. Strategies that combine inhibition of immunosuppressive factors with immune stimulatory co-formulations already under development may help ATCVs reach their full potential. Electronic supplementary material The online version of this article (10.1186/s13058-018-1054-3) contains supplementary material, which is available to authorized users.

An improved technique for fractal characterization called the modified blanket method is introduced that can quantify surrounding fractal structures on a pixel by pixel basis without artifacts associated with scale-dependent image features such as object size. The method interprets images as topographical maps, obtaining information regarding the local surface area as a function of image resolution. Local fractal dimension (FD) can be quantified from the power law exponent derived from the surface area and image resolution relationship. We apply this technique on simulated cell images of known FD and compared the obtained values to power spectral density (PSD) analysis. Our method is sensitive to a wider FD range (2.0–4.5), having a mean error of 1.4% compared to 6% for PSD analysis. This increased sensitivity and an ability to compute regional FD properties enabled the discrimination of the differences in radiation resistant cancer cell responses that could not be detected using PSD analysis.

There is growing evidence that aerobic glycolysis provides tumors with a growth advantage and could play a role in promoting an aggressive tumor phenotype. Quantitative visualization of aerobic glycolysis within tumors could provide a prognostic marker of long-term tumor outcome. We have developed a method for simultaneous imaging of vascular oxygenation and metabolism in tumors using high resolution intravital microscopy with the goal of visualizing and quantifying the extent of aerobic glycolysis within a tumor. As part of this review, we detail our efforts toward deriving the quantitative parameters related to tumor glycolytic demand using a fluorescent glucose analog called 2-NBDG, and quantifying the relationship between vascular oxygenation and glycolytic demand. Finally, we present our recent results demonstrating the ability of diffuse optical spectroscopy to measure both oxygenation and glycolytic demand in murine models of cancer.

About 90% of the patients diagnosed with breast cancer succumb due to metastases and not from primary tumor. There are currently few methods that can distinguish indolent and aggressive breast tumors. Recent studies have shown differences in the metabolic profiles of primary, circulating, and metastatic breast cancer cells. One of the key regulators of metastases in breast cancer is the transcription factor Twist. The goal of our study was to determine the relationship between Twist expression and cellular metabolism, and the effect of this relationship on metastatic potential. Multiphoton microscopy can provide non-invasive, label-free and reproducible measurements of cellular metabolism. An optical redox ratio of endogenous fluorescence from nicotinamide adenine dicnucleotide (NADH) and flavin adenine dinucleotide (FAD) (calculated as FAD/NADH+FAD) can reflect the balance between mitochondrial oxidative phosphorylation and glucose catabolism in the cell. Because hypoxia is known to promote metastasis, we studied the effect of both intermittent and acute hypoxia on cellular metabolism in 4T1 murine breast cancer cells. We generated a 4T1-Twist− cell line using CRISPR-Cas9 technology. Western blots of Twist protein expression confirmed that Twist expression was significantly lower in the selected cell population compared with the parental 4T1 line. Both cell lines were exposed to 0.5% oxygen for 3 hours and one hour of reoxygenation (acute hypoxia), and 3 cycles of one-hour hypoxia followed by one-hour reoxygenation (intermittent hypoxia). Multiphoton imaging of endogenous fluorescence as well as metabolic flux analysis (Seahorse Biosciences) was performed for both hypoxic exposures in both cell lines. Our results indicate a significant increase in the optical redox ratio in 4T1 cells when exposed to acute hypoxia, indicating a possible increase in oxidative metabolism. There were no signfiicant differences in the 4T1-Twist− line. On the other hand, we observed a decrease in the optical redox ratio in response to intermittent hypoxia in the 4T1 cells and the opposite effect in the 4T1-Twist− line. In addition to these cell lines, we will also present data from sibling cell lines of the 4T1 with varying Twist levels and hence metastatic potential. These data indicate indicate potentially measurable metabolic differences between indolent and aggressive breast cancer cells when subject to a hypoxia-reoxygenation regimen. Citation Format: Lisa Rebello, Narasimhan Rajaram. Optical metabolic imaging of the effects of acute and intermittent hypoxia in murine breast cancer cells [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P1-01-08.

There is a critical need to identify patients with radiation-resistant tumors early after treatment commencement. In this study, we use diffuse reflectance spectroscopy (DRS) to investigate changes in vascular oxygenation and total hemoglobin concentration in A549 radiation-sensitive and resistant tumors treated with a clinically relevant dose fraction of 2 Gy. DRS spectra were acquired before, immediately after, 24, and 48 hours after radiation. Our data reveals a significantly higher reoxygenation (sO2) in the radiation-resistant tumors 24 and 48h after treatment, and provides promising evidence that DRS can discern between the reoxygenation trends of radiation-sensitive and resistant tumors.