Immunophenotypic Characteristics and Cytogenetic Analysis of Adolescent and Young Adult B-Cell Acute Lymphoblastic Leukemia: Correlations With Clinicopathological Parameters.

Introduction Acute lymphoblastic leukemia (ALL) has suboptimal survival rates for adolescents and young adults (AYA) as compared to children. Very limited studies have been conducted on AYA patients in India. This study aimed to identify the cytogenetic and immunophenotype characteristics of B-cell ALL (B-ALL) in AYA patients and determine its correlation with clinicopathological parameters in the Southern India region. Method The study was a prospective study conducted for three years, from June 2019 to May 2022, in India. Newly diagnosed 90 patients with AYA (13-40 years) ALL were recruited. A B-ALL diagnosis was made based on morphology with cytochemical stains and immunophenotype by flow cytometry (FCM). Cytogenetic analysis was also performed using karyotyping and fluorescent in situ hybridization to identify chromosomal aberrations. The cytogenetics results were correlated with immunophenotyping and clinicopathological characteristics. Variables were analyzed using the Mann-Whitney U test and Chi-square test using IBM SPSS Statistics for Windows, Version 20.0 (Released 2011; IBM Corp., Armonk, NY, USA). Results The mean age was 22.68 ± 8.06 years. It was observed that the most common structural chromosomal abnormality for AYA was t(9;22) in 14 (15%) cases, followed by 6q deletions in seven (8%) cases, t(1;19) in four (4%) cases, and t(12;17) and t(6;14) in two (2%) cases each. In addition, t(3;12), t(2;11), t(12;21), t(1;9), t(2;12), and t(X;10) were found in one (1%) case each. The most common numerical abnormality was hyperdiploidy (15; 17%), followed by hypodiploidy (10; 11%). Further, myeloid antigen expression of CD33 was the most common aberrantly expressed marker found in 20 (28%) cases, followed by CD15 in three cases (5%), CD13 in three (4%) cases, and CD11b in two (3%) cases. It was also observed that in Ph+ve cases, CD33 and CD13 were most commonly expressed in three (33%) and two (17%) cases, respectively. In contrast, in Ph-ve patients, their expressions were lesser at 17 (27%) and one (2%) cases, respectively. In addition, leukemia-associated immunophenotype pattern (LAIP) markers CD44 6 (86%) and CD123 5 (55%) were also found to be significantly associated with Ph+ve, whereas their values in the Ph-ve group were lesser at 25 (42%) and 9 (17%), respectively. Our data also showed that older age wassignificantly associated with Ph+ve with a median age of 30 years (p = 0.012). In comparison, the median age of Ph-ve was only 21 years. Conclusion Our study established that the incidence of cytogenetic abnormalities for AYA was consistent with previously reported data. This study reaffirms that Ph+ve cases have significant associations with MyAg (CD13), LAIP (CD123 and CD44), and older age for the South Indian population.

Impact of the COVID-19 pandemic on treatment of patients with acute myeloid leukaemia in India.

During the COVID-19 pandemic, our findings highlight changes in AML management strategies in India. There was a decrease in overall patient registrations, particularly at large referral centers, while smaller centers saw an increase, reflecting a shift towards more localized care. This shift was accompanied by a rise in the use of hypomethylating agents (HMAs). Despite these changes, survival outcomes remained comparable to pre-pandemic levels, likely due to improved infection control measures and maintaining treatment protocols. Our study concludes that standard AML care remained feasible during the pandemic, emphasizing the importance of continuing treatment for eligible patients even in times of crisis.

Peripheral Blood Neutrophil Nadir and Time to Platelet Recovery during Induction Chemotherapy: Predictors of Clinical Outcomes and Markers for Optimizing Induction Treatment Intensity in Acute Lymphoblastic Leukemia.

OBJECTIVE: To study the kinetics of blood count nadir and time to recovery and find its association with clinical outcomes in a cohort of Acute Lymphoblastic Leukemia (ALL). METHODS: Data from 243 cases treated between January 2018 to December 2020 was retrospectively analysed. Along with baseline data, serial measures of peripheral blood counts, nadir, and time to partial and complete recovery of counts during course of induction chemotherapy were recorded. Post-induction Complete Remission (CR) status, Event-Free Survival (EFS) , and Overall Survival (OS) were recorded as clinical outcomes for analysis. RESULTS: Median age was 15 (range,1-62) years. Immunophenotype was B-ALL in 71% (n=172), and T-ALL in 27% (n=66). Good steroid response (D8) was seen in 89%(n=216), CR in 79% (n=192), and induction mortality in 12% (n=29). Median neutrophil nadir was 0.06(0-0.49) *109/L and median day to nadir was D17. Median time to partial and complete platelet recovery was D18 and D25. Late neutrophil nadir (>D15) was independent predictor of refractory disease post-induction [OR=5.43 (95%CI 1.06-27.75)]. Late partial platelet recovery (>D22) was independent predictor of poorer EFS and OS [HR = 1.63 (95%CI 1.07-2.47)] and [HR = 1.5 (95% CI 1-2.4)] respectively. CONCLUSION: We found that a longer time to neutrophil nadir independently predicts refractory disease post-induction and late partial platelet recovery is an independent factor for poorer EFS and OS. Thus, Blood count kinetics as independent predictors of induction outcomes can provide a simple, easy-to-use tool for balancing toxicity-efficacy during induction therapy for ALL.

Reply to A. Mathew et al.

Gender disparities in young-onset CRC highlight health care access barriers in LMICs & changing global incidence trends. Increased awareness is crucial. #JCOGO @JCOGO_ASCO.

Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset.

Background: Segmenting computed tomography (CT) is crucial in various clinical applications, such as tailoring personalized cardiac ablation for managing cardiac arrhythmias. Automating segmentation through machine learning (ML) is hindered by the necessity for large, labeled training data, which can be challenging to obtain. This article proposes a novel approach for automated, robust labeling using domain knowledge to achieve high-performance segmentation by ML from a small training set. The approach, the domain knowledge-encoding (DOKEN) algorithm, reduces the reliance on large training datasets by encoding cardiac geometry while automatically labeling the training set. The method was validated in a hold-out dataset of CT results from an atrial fibrillation (AF) ablation study. Methods: The DOKEN algorithm parses left atrial (LA) structures, extracts "anatomical knowledge" by leveraging digital LA models (available publicly), and then applies this knowledge to achieve high ML segmentation performance with a small number of training samples. The DOKEN-labeled training set was used to train a nnU-Net deep neural network (DNN) model for segmenting cardiac CT in N = 20 patients. Subsequently, the method was tested in a hold-out set with N = 100 patients (five times larger than training set) who underwent AF ablation. Results: The DOKEN algorithm integrated with the nn-Unet model achieved high segmentation performance with few training samples, with a training to test ratio of 1:5. The Dice score of the DOKEN-enhanced model was 96.7% (IQR: 95.3% to 97.7%), with a median error in surface distance of boundaries of 1.51 mm (IQR: 0.72 to 3.12) and a mean centroid-boundary distance of 1.16 mm (95% CI: -4.57 to 6.89), similar to expert results (r = 0.99; p < 0.001). In digital hearts, the novel DOKEN approach segmented the LA structures with a mean difference for the centroid-boundary distances of -0.27 mm (95% CI: -3.87 to 3.33; r = 0.99; p < 0.0001). Conclusions: The proposed novel domain knowledge-encoding algorithm was able to perform the segmentation of six substructures of the LA, reducing the need for large training data sets. The combination of domain knowledge encoding and a machine learning approach could reduce the dependence of ML on large training datasets and could potentially be applied to AF ablation procedures and extended in the future to other imaging, 3D printing, and data science applications.

Docetaxel-oxaliplatin-capecitabine/5-fluorouracil (DOX/F) followed by docetaxel versus oxaliplatin-capecitabine/5-fluorouracil (CAPOX/FOLFOX) in HER2-negative advanced gastric cancers.

BACKGROUND: We evaluated whether the addition of docetaxel (D) to a combination comprising 5-fluorouracil/leucovorin (5-FU/LV) or capecitabine (C) plus oxaliplatin (O) (DOF/DOX) improved overall survival (OS) compared with 6 months of 5-fluorouracil (5-FU) or capecitabine in combination with oxaliplatin (FOLFOX/CAPOX) alone in advanced HER2-negative gastroesophageal junction and gastric adenocarcinomas (G/GEJ). METHODS: This study was an investigator-initiated, open-label, multi-institutional, randomized phase III trial in adult patients with HER2-negative advanced G/GEJs. The primary endpoint of the study was a comparison of median OS by Kaplan-Meier method. Next-generation sequencing was performed on tissue. RESULTS: Of the 324 patients randomly assigned between July 2020 and November 2022, 305 patients were evaluable for analysis (FOLFOX/CAPOX: 156; DOF/DOX: 149). With a median follow-up time of 19.2 months (95% Confidence Interval [CI] = 16.5 months to 21.9 months) for the entire cohort, the median OS was 10.1 months (95% CI = 9.2 to 10.9) for FOLFOX/CAPOX and 8.9 months (95% CI = 7.3 to 10.5) for DOF/DOX, and this difference was not statistically significant (P = .70). An increased proportion of grade 3 or grade 4 neutropenia (21% vs 3%; P < .001) and grade 2/3 neuropathy (17% vs 7%; P = .005) was seen in patients receiving DOF/DOX. Genomic profiling revealed a low incidence of microsatellite instability (1%) and a high incidence of BRCA1 (8.4%) and BRCA2 (7.5%) somatic alterations. CONCLUSION: FOLFOX or CAPOX chemotherapy for 6 months remains one of the standards of care in advanced HER2-negative gastroesophageal junction and gastric adenocarcinomas, with no additional survival benefit seen with the addition of docetaxel. Genomic profiling of patients revealed a higher than previously known incidence of somatic BRCA alterations, which requires further evaluation.CTRI (Clinical Trial Registry of India: CTRI/2020/03/023944).

Treatment challenges and outcomes of older patients with acute myeloid leukemia from India.

Globally, overall survival (OS) of older patients with AML continues to be suboptimal with very little data from India. In a multicenter registry analysis, we evaluated 712 patients with AML older than 55 years. Only 323 (45.3%) underwent further treatment, of which 239 (74%) received HMAs, and 60 (18%) received intensive chemotherapy (IC). CR was documented in 39% of those receiving IC and 42% after HMAs. Overall, 100 (31%) patients died within 60 days of diagnosis, most commonly due to progressive disease (47%) or infections (30%). After a median follow-up of 176 days, 228 (76%) of patients had discontinued treatment. At one year from diagnosis, 211 (65%) patients had died, and the median OS was 186 days (IQR, 137-234). Only 12 (3.7%) patients underwent stem cell transplantation. Survival was significantly lower for those older than 60 years (p < 0.001). Patients who died had a higher median age (p = .027) and baseline WBC counts (p = .006). Our data highlights suboptimal outcomes in older AML patients, which are evident from 55 years of age onwards, making it necessary to evaluate HMA and targeted agent combinations along with novel consolidation strategies to improve survival in this high-risk population.

Adolescent and Young Adults with Gastric Cancer (AYA-GC)-The Dilemma of an Under-Represented Group: A Multi-Institutional Analysis from the Indian Subcontinent.

Soumya Surath PandaGastric cancer (GC) is often ignored at a young age, which frequently leads to tragic consequences. The worldwide incidence of GC is increasing at a young age. In view of the limited Indian publication, we sought to characterize clinicopathological parameters and risk factors in the adolescents and young adults (AYA) population. Retrospective data from six centers (which are part of the Network of Oncology Clinical Trials in India) from 2015 to 2020 were collected from patient (18-39 years of age) records. This study was approved by the institutional ethical committee of individual centers. All statistical analyses were performed using Microsoft Excel and SPSS (Version 20). Data interpretation along with the analysis of obtained results was carried out using the following tests: Qualitative data was expressed in terms of frequency/percentage. One-hundred fifty-two AYA GC patients were enrolled. The 31 to 39 years age group was most affected in which 76.3% were females. The majority of patients were nonalcoholic (93.4%), nonsmokers (98.0%), and without a family history (98.0%). The most common (MC) presenting symptom was abdominal pain (67.1%). MC site was antrum (48%). Among esophagogastric junction cancers, the majority were type I and II Siewert classifications (77% [20/26] patients in cardia), MC histology-signet ring cell (67.1%) followed by diffuse-type (65.1%). Most were poorly differentiated (65.1%) and were diagnosed at an advanced stage (III & IV= 54.6%). This is one of our country's first large multicenter studies on GC in the AYA population. There was a higher female prevalence, aggressive tumor behavior and the majority of patients were diagnosed at a more advanced stage. The majority were nonsmokers with a negative family history. Awareness among general people, researchers, clinicians, and policymakers must be improved to better the loss of life years in the younger population.

Clinicopathologic Profile and Treatment Outcomes of Colorectal Cancer in Young Adults: A Multicenter Study From India.

PURPOSE: Colorectal cancer (CRC) in young adults is a rising concern in developing countries such as India. This study investigates clinicopathologic profiles, treatment patterns, and outcomes of CRC in young adults, focusing on adolescent and young adult (AYA) CRC in a low- and middle-income country (LMIC). METHODS: A retrospective registry study from January 2018 to December 2020 involved 126 young adults (age 40 years and younger) with CRC. Patient demographics, clinical features, tumor characteristics, treatment modalities, and survival outcomes were analyzed after obtaining institutional ethics committees' approval. RESULTS: Among 126 AYA patients, 62.70% had colon cancer and 37.30% had rectal cancer. Most patients (67%) were age 30-39 years, with no significant gender predisposition. Females had higher metastatic burden. Abdominal pain with obstruction features was common. Adenocarcinoma (65%) with signet ring differentiation (26%) suggested aggressive behavior. Limited access to molecular testing hindered mutation identification. Capecitabine-based chemotherapy was favored because of logistical constraints. Adjuvant therapy showed comparable recurrence-free survival in young adults and older patients. For localized colon cancer, the 2-year median progression-free survival was 74%, and for localized rectal cancer, it was 18 months. Palliative therapy resulted in a median overall survival of 33 months (95% CI, 18 to 47). Limited access to targeted agents affected treatment options, with only 27.5% of patients with metastatic disease receiving them. Chemotherapy was generally well tolerated, with hematologic side effect being most common. CONCLUSION: This collaborative study in an LMIC offers crucial insights into CRC in AYA patients in India. Differences in disease characteristics, treatment patterns, and limited access to targeted agents highlight the need for further research and resource allocation to improve outcomes in this population.

Assessment of novel prognostic biomarkers to predict pathological complete response in patients with non-metastatic triple-negative breast cancer using a window of opportunity design.

Background: Triple-negative breast cancer (TNBC) includes approximately 20% of all breast cancer and is characterized by its aggressive nature, high recurrence rates, and visceral metastasis. Pathological complete response (pCR) is an established surrogate endpoint for survival. The window of opportunity studies provide valuable information on the disease biology prior to definitive treatment. Objectives: To study the association of dynamic change in pathological, imagining, and genomic biomarkers that can prognosticate pCR. The study aims to develop a composite prognostic score. Design: Clinical, interventional, and prognostic biomarker study using the novel window of opportunity design. Methods: The study aims to enroll 80 treatment-naïve, pathologically confirmed TNBC patients, administering a single dose of paclitaxel and carboplatin during the window period before neoadjuvant chemotherapy (NACT). Tumor tissue will be obtained through a tru-cut biopsy, and positron emission tomography and computed tomography scans will be performed for each patient at two time points aiming to evaluate biomarker alterations. This will be followed by the administration of standard dose-dense NACT containing anthracyclines and taxanes, with the study culminating in surgery to assess pCR. Results: The study would develop a composite prognostic risk score derived from the dynamic change in the Ki-67, tumor-infiltrating lymphocytes, Standardized Uptake Value (SUV max), Standardized Uptake Value for lean body mass (SUL max), and gene expression level pre- and post-intervention during the window period prior to the start of definitive treatment. This outcome will aid in categorizing the disease biology into risk categories. Trial registration: The current study is approved by the Institutional Ethics Committee [Ethics: Protocol. no. JIP/IEC/2020/019]. This study was registered with ClinicalTrials.gov [CTRI Registration: CTRI/2022/06/043109]. Conclusion: The validated biomarker score will help to personalize NACT protocols in patients in TNBC planned for definitive treatment.

Precision in action: unveiling predictive biomarkers for enhanced TNBC treatment We are investigating new ways to predict how well a particular treatment will work in patients with a specific type of breast cancer called triple-negative breast cancer. The study goal is to find biomarkers that change in response to drugs to predict the complete elimination of cancer in patients before it spreads to other parts of the body. To do this, we are using a special research approach called a 'window of opportunity design.' This information could be valuable in personalizing and improving cancer treatments.

Prognostic Factors and Outcomes of Early-Stage Hodgkin's Lymphoma: Multi-Institutional Data From South India.

Early-stage Hodgkin's lymphoma (ESHL) is highly curable, usually with a combination of chemotherapy and radiation. Real-world data may show differences in survival and prognostic factors when compared to clinical trials. There is limited published literature on ESHL from India. The data on the baseline characters, treatment, and outcomes of patients with ESHL (stage IA, IB, and IIA) were obtained from five institutions' medical records and entered in a common database. Event-free survival (EFS) and overall survival (OS) were estimated using the Kaplan Meier method, and cox-regression analysis was used to identify prognostic factors. There were 258 patients [median age was 37 (18-75) years; [males:160 (62%); stage I: 41%; B symptoms: 17 (6%); bulky disease:19 (15%)] treated between 2000 and 2020 who were evaluable. The common chemotherapies used were ABVD [N = 180 (70%)], COPP-ABVD hybrid [N = 52 (21%)], and COPP [N = 14 (5%)]. Median number of cycles were 4 (2-8) and 93 (47%) received radiation at end of treatment. After a median follow-up of 60 months, the 5 years EFS was 87% and OS was 92%. On multivariate analysis, the following factors adversely affected the EFS: Male gender [hazard ratio (HR) = 2.23, P = 0.02] and Hemoglobin < 10.5g/dL [hazard ration (HR) = 2.20, P = 0.02], and the following adversely affected the OS: Hemoglobin < 10.5g/dL [hazard ratio (HR) = 4.05, P = 0.001], Male gender [hazard ratio (HR) = 3.59, P = 0.004], Stage 2 [hazard ratio (HR) = 2.65, P = 0.002] and ECOG PS (2-3) [hazard ratio (HR) = 3.35, P = 0.01]. Using the hemoglobin, stage and gender a 3-item prognostic score could identify patients with very good outcomes (score 0; 5 years OS:100%) and poor outcomes (score 3; 5 years OS; 49%). This is one of the first multi-center real-world data exclusively focusing on ESHL from India. Though the survival of the entire population was good, there are subsets of patients who have poor outcomes, which may be identified using simple parameters. These parameters need validation in a larger dataset. Supplementary Information: The online version contains supplementary material available at 10.1007/s12288-023-01692-9.

Knowledge and attitude on childhood cancer survivorship among healthcare trainees: a multicentre study from India.

BACKGROUND: The proportion of childhood cancer survivors (CCS) in low/middle-income countries (LMICs) is rising. CCS often develop several physical and psycho-social long-term adverse effects, with unique healthcare needs. Primary healthcare providers (primary care physicians (PCPs)), especially in LMICs, are often not equipped to handle survivorship care. This study aimed to assess knowledge, and attitude among trainee healthcare providers concerning major issues of paediatric survivorship care. METHODS: A multi-centre, cross-sectional, questionnaire-based study was conducted among nursing and medical undergraduate students, and postgraduate medical residents across three tertiary-care teaching hospitals in India-All India Institute of Medical Sciences, New Delhi; Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry; and Maulana Azad Medical College, New Delhi. A questionnaire with total of 24 questions (14 knowledge-based and 10 attitude-based) was finalised after validation by expert review and piloting. The major domains covered in the questionnaire included knowledge and attitude regarding long-term adverse effects and psychosocial, employment-related issues faced by the survivors. It was administered to the study participants electronically. The knowledge-based questions had true/false responses (scored as 0 or 1 if incorrect or correct, respectively). Attitude-based questions were scored as 5-point Likert scale. RESULTS: Total 898 responses were collected (median age: 21 years, 64% (576/898) female). Among the respondents, 44% were undergraduate medical students, 42% were nursing students and 14% were postgraduate medical residents. The mean (SD) of knowledge score was 8.72 (2.04) (out of 14). On multivariable analysis, only discipline of training predicted knowledge scores regarding survivorship care. Postgraduate medical residents (9.08) as well as undergraduate medical students (8.85), had significantly higher mean knowledge scores than nursing students (8.47) (p=0.004).Two questions were answered incorrectly by the majority; children and siblings of CCS need additional genetic screening (79% incorrectly answered true), and CCS face intimacy issues in relation to normal sexual functioning (59% incorrectly answered false).Nearly half (48%) of respondents believed that their knowledge of cancer survivorship issues was inadequate. Majority of respondents (84%) suggested that oncologists should handle long-term survivorship care rather than PCPs. CONCLUSION: Trainee healthcare providers in India reported inadequate knowledge regarding survivorship care. Improving awareness by incorporating survivorship in teaching curriculum is imperative to equip future PCPs to provide survivorship care across the country.

Spatially Conserved Spiral Wave Activity During Human Atrial Fibrillation.

BACKGROUND: Atrial fibrillation is the most common cardiac arrhythmia in the world and increases the risk for stroke and morbidity. During atrial fibrillation, the electric activation fronts are no longer coherently propagating through the tissue and, instead, show rotational activity, consistent with spiral wave activation, focal activity, collision, or partial versions of these spatial patterns. An unexplained phenomenon is that although simulations of cardiac models abundantly demonstrate spiral waves, clinical recordings often show only intermittent spiral wave activity. METHODS: In silico data were generated using simulations in which spiral waves were continuously created and annihilated and in simulations in which a spiral wave was intermittently trapped at a heterogeneity. Clinically, spatio-temporal activation maps were constructed using 60 s recordings from a 64 electrode catheter within the atrium of N=34 patients (n=24 persistent atrial fibrillation). The location of clockwise and counterclockwise rotating spiral waves was quantified and all intervals during which these spiral waves were present were determined. For each interval, the angle of rotation as a function of time was computed and used to determine whether the spiral wave returned in step or changed phase at the start of each interval. RESULTS: In both simulations, spiral waves did not come back in phase and were out of step." In contrast, spiral waves returned in step in the majority (68%; P=0.05) of patients. Thus, the intermittently observed rotational activity in these patients is due to a temporally and spatially conserved spiral wave and not due to ones that are newly created at the onset of each interval. CONCLUSIONS: Intermittency of spiral wave activity represents conserved spiral wave activity of long, but interrupted duration or transient spiral activity, in the majority of patients. This finding could have important ramifications for identifying clinically important forms of atrial fibrillation and in guiding treatment.

Role of CYFRA 21-1 and CEA as prognostic and predictive markers in locally advanced and metastatic gastric carcinoma.

PURPOSE: Tumor-associated serum markers have demonstrated predictive and prognostic value in patients being treated for malignancies. However, the clinical importance of tumor markers in gastric cancers (GC) is poorly standardized. OBJECTIVES: The objective is to assess the clinical utility of cytokeratin-19 fragment (CYFRA 21-1) and carcinoembryonic antigen (CEA) as serum tumor markers in advanced GC. METHODS: In this prospective study, CYFRA 21-1 and CEA levels were measured at baseline and after three cycles of chemotherapy in patients with advanced GC. The association of tumor marker levels with prognosis and decline of tumor markers with radiological overall response rates (ORR) and survival were analyzed. RESULTS: In the 105 patients, the proportion of patients with elevated baseline CYFRA 21-1 and CEA levels was 55% (N = 58) and 37% (N = 39) based on predefined cutoffs. Response assessment was done for 61 patients who received a minimum of three cycles of chemotherapy. A 15% and 13% reduction of serum levels from baseline for CYFRA 21-1 and CEA were selected for defining "CYFRA 21-1 response" and "CEA-response," respectively. Both responses were significant predictors of radiological ORR. The median overall survival (OS) was 9.6 months in the entire cohort and 13 months for patients who received at least three cycles of chemotherapy. In multivariate analysis, baseline CEA levels and ECOG status were significant predictors of OS. In a subset analysis of patients receiving palliative chemotherapy, any of the tumor marker responses predicted improved 1-year OS. CONCLUSION: In advanced GC, CYFRA 21-1 and CEA decline from baseline appeared to be reliable surrogate markers of chemotherapy efficacy and improved survival.

Daratumumab in Indian patients with relapsed and refractory multiple myeloma: a prospective, multicenter, phase IV study.

Aim: To assess the safety and effectiveness of daratumumab monotherapy in Indian patients with relapsed/refractory multiple myeloma. Methods: In this prospective, multicenter, phase IV study, patients (aged ≥18 years) received intravenous daratumumab (16 mg/kg) in six cycles. Safety was the primary end point. Results: Of the 139 patients included, 121 (87.1%) experienced ≥1 treatment-emergent adverse events (TEAEs; 53 [38.1%] drug-related), 32 (23%) had ≥1 serious TEAEs (five [3.6%] drug-related) and 16 (11.5%) deaths were reported (one death [0.7%] was drug-related). Overall response rate was 26.3%; 62.7% of patients had stable disease. Median time to first response and median progression-free survival were 5.2 and 5.9 months, respectively. Functional status and well-being were improved. Conclusion: Daratumumab showed an acceptable and expected safety profile with consistent efficacy, providing a novel therapeutic option for relapsed/refractory multiple myeloma management in India.

Daratumumab is a monoclonal antibody approved for the treatment of patients with relapsed/refractory multiple myeloma (RRMM). This study evaluated the outcome of daratumumab single therapy in Indian patients who were not cured with other drugs used for the same disease. 139 adult patients were included in this study from 15 institutes across India. Daratumumab (16 mg/kg) was diluted with 500 or 1000 ml of saline solution and given slowly through the intravenous route 16-times within 6 months. The study examined whether the safety profile and benefits of daratumumab reported in Indian patients were similar to those reported in the RRMM populations of other countries. The study found that most of the adverse events were not severe and could be easily treated by the study physician. 16 patients died (one might have been due to daratumumab treatment). Daratumumab treatment provided life support and recovery benefits to many patients. Daratumumab single therapy provides an appropriate and acceptable safety profile with no new adverse events and consistent benefits in RRMM patients. Clinical Trial Registration: NCT03768960 (ClinicalTrials.gov), CTRI/2019/06/019546.

Central nervous system involvement in multiple myeloma: Experience from a tertiary cancer center and review of literature.

BACKGROUND: Multiple myeloma (MM) results from clonal expansion of immunoglobulin secreting, heavy chain class-switched, terminally differentiated B-lymphocytes (plasma cells), resulting in radiologic or biochemical evidence of end-organ damage. Though neurological manifestations (peripheral neuropathies, spinal radiculopathies, cranial nerve palsies, and metabolic encephalopathies) can occur during the disease course, direct central nervous system (CNS) infiltration by malignant plasma cells (CNS-MM) is very rare (~1%) and has a dismal prognosis (survival of <6 months). METHODOLOGY: Clinico-laboratory profile and outcome of CNS-MM patients diagnosed and treated at a tertiary cancer care hospital were retrospectively analyzed. RESULTS: On scrutinizing 500 consecutive myeloma case records, 4 patients with CNS-MM were identified. All these patients were diagnosed during myeloma relapse, and all had deceased within 1 week and 12 months of developing CNS infiltration. Our experience with CNS-MM patients is similar to the experiences documented across major world literature. CONCLUSION: Our manuscript reinforces that CNS-MM should be considered in any myeloma patient presenting with unexplainable CNS manifestations. As there are no prospective studies to recommend optimal treatment strategies, CNS-MM still remains a dismal complication of myeloma.

Aggressive Histology and Extensive Metastasis Characteristic of Very Young Gastric Cancer (Less Than 30 Years): A Retrospective Clinical Audit.

Narendran KrishnamoorthiObjectives Gastric cancer (GC) is an aggressive disease and remains one of the most common causes of cancer-related mortality worldwide. Incidence of gastric cancer in young (GCY) varies between 2 and 8%. GCY faces unique challenges such as biological variation, diagnosis at an advanced stage, issues related to fertility preservation, and psychosocial considerations. This study aimed to find the differences in clinical characteristics and treatment outcomes of GCY compared to gastric cancer in older adults (GCO). Material and Methods This is a retrospective study from a tertiary care center. We screened records from 2015 to 2020, identified 33 records of GCY (less than 30 years), and compared the data with GCO (greater than 30 years) during 2015 and 2018. Results We identified 33 patients with GCY with a median age of 28 years (21-30) and a female to male ratio of 2:1. In GCY, 60% of patients presented with metastatic disease. Diffuse-type histology was more common in the GCY than in GCO (66.7% vs. 41.7%, p = 0.001). In patients with metastasis, multiple metastases were common in GCY compared to GCO (45% vs. 15%, p = 0.003). The median duration of follow-up for all patients was 27 (24-29) months. In GCY, the median OS was not reached for patients treated with curative intent, and it was 13 months for those treated with palliative intent. Conclusion The incidence of GCY in our study was like the western literature. Female patients with aggressive diffuse histology and multiple extensive metastases were characteristic of GCY. The survival outcomes were identical to GCO.

Clinicopathological features and survival outcomes for gastric adenocarcinoma: Real-world single-center data.

INTRODUCTION: Gastric cancer is the fifth most-common cancer and fourth common cause for cancer-related deaths globally. Surgery preceded or followed by chemotherapy or chemoradiotherapy is considered an optimal treatment for locally advanced gastric cancer. This study is a real-world data from a tertiary referral institute in southern India, in its experience with treating gastric adenocarcinoma over a period of four years with a minimum of two-year follow-up. METHODS: This was a retrospective analysis of data of patients with histologically proven gastric adenocarcinoma enrolled in the Department of Medical Oncology from 2015 to 2018. The demographic details, presentation, staging, treatment received and outcomes of patients with gastric adenocarcinoma were collected and analyzed in this study. RESULTS: Total 488 patients with gastric adenocarcinoma were included for the study. The stage-wise distribution of patients revealed early and locally advanced (45%) and metastatic (55%). The peritoneum and liver were the common sites of metastasis. The treatment distribution of these patients included perioperative chemotherapy followed by surgery (25 [5%]), surgery followed by adjuvant chemotherapy (65 [13%]), surgery alone (16 [3%]), perioperative chemotherapy alone (23 [4%]), palliative chemotherapy (274 [56%]) and supportive care (85 [17%]). The median overall survival for curative, palliative and supportive treatment was 23 (18-28), nine (7.6-10.4) and four (2.7-5.3) months, respectively. The two-year overall survival in the intention to treat population in the primary surgery (n = 81) and perioperative chemotherapy groups (n = 66) was 67.4% vs. 29.9% (p < 0.0001), respectively. CONCLUSION: This study highlights the advanced nature of the presentation of gastric cancer patients and the poor rate of treatment completion. The median survival rates in curative patients remain to be dismally poor. The treatment sequence in curable gastric cancer of surgery followed by adjuvant chemotherapy vs. perioperative chemotherapy followed by surgery needs to be explored in our country.

Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding.

Background: Segmentation of computed tomography (CT) is important for many clinical procedures including personalized cardiac ablation for the management of cardiac arrhythmias. While segmentation can be automated by machine learning (ML), it is limited by the need for large, labeled training data that may be difficult to obtain. We set out to combine ML of cardiac CT with domain knowledge, which reduces the need for large training datasets by encoding cardiac geometry, which we then tested in independent datasets and in a prospective study of atrial fibrillation (AF) ablation. Methods: We mathematically represented atrial anatomy with simple geometric shapes and derived a model to parse cardiac structures in a small set of N = 6 digital hearts. The model, termed "virtual dissection," was used to train ML to segment cardiac CT in N = 20 patients, then tested in independent datasets and in a prospective study. Results: In independent test cohorts (N = 160) from 2 Institutions with different CT scanners, atrial structures were accurately segmented with Dice scores of 96.7% in internal (IQR: 95.3%-97.7%) and 93.5% in external (IQR: 91.9%-94.7%) test data, with good agreement with experts (r = 0.99; p < 0.0001). In a prospective study of 42 patients at ablation, this approach reduced segmentation time by 85% (2.3 ± 0.8 vs. 15.0 ± 6.9 min, p < 0.0001), yet provided similar Dice scores to experts (93.9% (IQR: 93.0%-94.6%) vs. 94.4% (IQR: 92.8%-95.7%), p = NS). Conclusions: Encoding cardiac geometry using mathematical models greatly accelerated training of ML to segment CT, reducing the need for large training sets while retaining accuracy in independent test data. Combining ML with domain knowledge may have broad applications.

Cost-effectiveness of response-adapted therapy (RAT) for advanced Hodgkin's Lymphoma compared with conventional treatment in India: a Markov-model based analysis.

Cost effectiveness analysis of interim positron emission tomography (PET-2, done after 2 cycles of chemotherapy) based response adaptive therapy (RAT) approaches in advanced Hodgkin lymphoma (aHL) are not available from an Indian perspective. We used a five-year decision analytics model to assess the cost-effectiveness of the two RAT approaches [(escalation (RAT-1) or de-escalation (RAT-2)] compared with standard care (SOC) in aHL (mean age:35 years). Modelling data was derived from secondary sources and sensitivity analyses were performed to assess the robustness of the model. Net monetary benefit (NMB) gained from RAT2 in Indian rupees (INR) (INR 2,26,896) was higher than the RAT1 (INR 1,83,138) when compared with SOC. Proportion achieving the complete response after initial treatment (CR1) was the key determining factor for the RAT1/2 dominance over SOC. Despite higher initial input costs, response-adapted therapy of aHL was cost-effective by minimizing the cost incurred and disutility experienced during relapse and salvage.

Despite higher initial costs, response-adapted therapy based on the interim PET scan after 2 cycles of chemotherapy was more cost-effective when compared to standard therapy with 6 cycles of ABVD in patients with advanced Hodgkin's lymphoma. Among the RAT approaches, de-escalation (RAT-2) had better cost-effectiveness than the escalation approach (RAT-1).